标题
A Survey of Learning-Based Intelligent Optimization Algorithms
作者
关键词
-
出版物
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2021-02-25
DOI
10.1007/s11831-021-09562-1
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Elephant herding optimization using dynamic topology and biogeography-based optimization based on learning for numerical optimization
- (2021) Wei Li et al. ENGINEERING WITH COMPUTERS
- Adaptive Sampling Using Self-paced Learning for Imbalanced Cancer Data Pre-diagnosis
- (2020) Qingyong Wang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Learning-based elephant herding optimization algorithm for solving numerical optimization problems
- (2020) Wei Li et al. KNOWLEDGE-BASED SYSTEMS
- An improved brainstorm optimization using chaotic opposite-based learning with disruption operator for global optimization and feature selection
- (2020) Diego Oliva et al. SOFT COMPUTING
- Using Cuckoo Search Algorithm with Q-Learning and Genetic Operation to Solve the Problem of Logistics Distribution Center Location
- (2020) Juan Li et al. Mathematics
- A learning-based memetic algorithm for the multiple vehicle pickup and delivery problem with LIFO loading
- (2020) Bo Peng et al. COMPUTERS & INDUSTRIAL ENGINEERING
- An aggregative learning gravitational search algorithm with self-adaptive gravitational constants
- (2020) Zhenyu Lei et al. EXPERT SYSTEMS WITH APPLICATIONS
- Marine Predators Algorithm: A nature-inspired metaheuristic
- (2020) Afshin Faramarzi et al. EXPERT SYSTEMS WITH APPLICATIONS
- Q-learning based dynamic task scheduling for energy-efficient cloud computing
- (2020) Ding Ding et al. Future Generation Computer Systems-The International Journal of eScience
- Improving NSGA-III algorithms with information feedback models for large-scale many-objective optimization
- (2020) Zi-Min Gu et al. Future Generation Computer Systems-The International Journal of eScience
- Enhancing MOEA/D with information feedback models for large-scale many-objective optimization
- (2020) Yin Zhang et al. INFORMATION SCIENCES
- Elephant Herding Optimization: Variants, Hybrids, and Applications
- (2020) Juan Li et al. Mathematics
- Solving Fuzzy Job-Shop Scheduling Problem Using DE Algorithm Improved by a Selection Mechanism
- (2020) Da Gao et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Q-learning-based simulated annealing algorithm for constrained engineering design problems
- (2019) Hussein Samma et al. NEURAL COMPUTING & APPLICATIONS
- Robust dimensionality reduction via feature space to feature space distance metric learning
- (2019) Bo Li et al. NEURAL NETWORKS
- Particle swarm optimization based on dimensional learning strategy
- (2019) Guiping Xu et al. Swarm and Evolutionary Computation
- An enhanced associative learning-based exploratory whale optimizer for global optimization
- (2019) Ali Asghar Heidari et al. NEURAL COMPUTING & APPLICATIONS
- An active learning brain storm optimization algorithm with a dynamically changing cluster cycle for global optimization
- (2019) Zijian Cao et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- Adaptive comprehensive learning particle swarm optimization with cooperative archive
- (2019) Anping Lin et al. APPLIED SOFT COMPUTING
- A parallel multi-objective genetic algorithm with learning based mutation for railway scheduling
- (2019) Krisanarach Nitisiri et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Resource allocation for smart grid communication based on a multi-swarm artificial bee colony algorithm with cooperative learning
- (2019) Kai Ma et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- An improved cuckoo search algorithm with self-adaptive knowledge learning
- (2019) Juan Li et al. NEURAL COMPUTING & APPLICATIONS
- An Intelligent Channel Assignment Approach for Minimum Interference in Wireless Mesh Networks Using Learning Automata and Genetic Algorithms
- (2019) Nandini Balusu et al. WIRELESS PERSONAL COMMUNICATIONS
- Network configuration multi-factory scheduling with batch delivery: A learning-oriented simulated annealing approach
- (2019) Fateme Marandi et al. COMPUTERS & INDUSTRIAL ENGINEERING
- A context sensitive energy thresholding based 3D Otsu function for image segmentation using human learning optimization
- (2019) Ashish Kumar Bhandari et al. APPLIED SOFT COMPUTING
- A constrained portfolio trading system using particle swarm algorithm and recurrent reinforcement learning
- (2019) Saud Almahdi et al. EXPERT SYSTEMS WITH APPLICATIONS
- A New Teaching–Learning-based Chicken Swarm Optimization Algorithm
- (2019) Sanchari Deb et al. SOFT COMPUTING
- Fruit fly optimization algorithm based on a hybrid adaptive-cooperative learning and its application in multilevel image thresholding
- (2019) Guoshen Ding et al. APPLIED SOFT COMPUTING
- Image Co-Segmentation via Locally Biased Discriminative Clustering
- (2019) Xianpeng Liang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Adaptive population structure learning in evolutionary multi-objective optimization
- (2019) Shuai Wang et al. SOFT COMPUTING
- Hierarchical Learning Water Cycle Algorithm
- (2019) Caihua Chen et al. APPLIED SOFT COMPUTING
- A multi-population differential evolution algorithm based on cellular learning automata and evolutionary context information for optimization in dynamic environments
- (2019) Reza Vafashoar et al. APPLIED SOFT COMPUTING
- QMR:Q-learning based Multi-objective optimization Routing protocol for Flying Ad Hoc Networks
- (2019) Jianmin Liu et al. COMPUTER COMMUNICATIONS
- Evolving an optimal kernel extreme learning machine by using an enhanced grey wolf optimization strategy
- (2019) Zhennao Cai et al. EXPERT SYSTEMS WITH APPLICATIONS
- An optimized model based on convolutional neural networks and orthogonal learning particle swarm optimization algorithm for plant diseases diagnosis
- (2019) Ashraf Darwish et al. Swarm and Evolutionary Computation
- Interval Multiobjective Optimization With Memetic Algorithms
- (2019) Jing Sun et al. IEEE Transactions on Cybernetics
- Pareto Self-Paced Learning Based on Differential Evolution
- (2019) Hao Li et al. IEEE Transactions on Cybernetics
- Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models
- (2018) Kunjie Yu et al. APPLIED ENERGY
- A hybrid method of 2-TSP and novel learning-based GA for job sequencing and tool switching problem
- (2018) Ehsan Ahmadi et al. APPLIED SOFT COMPUTING
- Orthogonal learning competitive swarm optimizer for economic dispatch problems
- (2018) Guojiang Xiong et al. APPLIED SOFT COMPUTING
- Learning enhanced differential evolution for tracking optimal decisions in dynamic power systems
- (2018) Tao Zhu et al. APPLIED SOFT COMPUTING
- On the use of local search heuristics to improve GES-based Bayesian network learning
- (2018) Juan I. Alonso et al. APPLIED SOFT COMPUTING
- A novel adaptive e-learning model based on Big Data by using competence-based knowledge and social learner activities
- (2018) Marouane Birjali et al. APPLIED SOFT COMPUTING
- A novel parallel hurricane optimization algorithm for secure emission/economic load dispatch solution
- (2018) Rizk M. Rizk-Allah et al. APPLIED SOFT COMPUTING
- Bayesian network hybrid learning using an elite-guided genetic algorithm
- (2018) Carlo Contaldi et al. ARTIFICIAL INTELLIGENCE REVIEW
- Opposition-based learning monarch butterfly optimization with Gaussian perturbation for large-scale 0-1 knapsack problem
- (2018) Yanhong Feng et al. COMPUTERS & ELECTRICAL ENGINEERING
- An adaptive large neighborhood search heuristic for dynamic vehicle routing problems
- (2018) Shifeng Chen et al. COMPUTERS & ELECTRICAL ENGINEERING
- Q-learning approach to coordinated optimization of passenger inflow control with train skip-stopping on a urban rail transit line
- (2018) Zhibin Jiang et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Improved grasshopper optimization algorithm using opposition-based learning
- (2018) Ahmed A. Ewees et al. EXPERT SYSTEMS WITH APPLICATIONS
- An improved NSGA-III algorithm with adaptive mutation operator for Big Data optimization problems
- (2018) Jiao-Hong Yi et al. Future Generation Computer Systems-The International Journal of eScience
- Decomposition-Based Evolutionary Multi-objective Optimization to Self-paced Learning
- (2018) Maoguo Gong et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Level set evolution with sparsity constraint for object extraction
- (2018) Guoqi Liu et al. IET Image Processing
- A Q-learning-based memetic algorithm for multi-objective dynamic software project scheduling
- (2018) Xiao-Ning Shen et al. INFORMATION SCIENCES
- A neighbor-based learning particle swarm optimizer with short-term and long-term memory for dynamic optimization problems
- (2018) Leilei Cao et al. INFORMATION SCIENCES
- A hybrid particle swarm optimization algorithm using adaptive learning strategy
- (2018) Feng Wang et al. INFORMATION SCIENCES
- A novel deep model with multi-loss and efficient training for person re -identification
- (2018) Di Wu et al. NEUROCOMPUTING
- A two-dimensional (2-D) learning framework for Particle Swarm based feature selection
- (2018) Faizal Hafiz et al. PATTERN RECOGNITION
- Cryptanalysis of a colour image encryption using chaotic APFM nonlinear adaptive filter
- (2018) Haiju Fan et al. SIGNAL PROCESSING
- Parametric active contour based on sparse decomposition for multi-objects extraction
- (2018) Guoqi Liu et al. SIGNAL PROCESSING
- Experienced Gray Wolf Optimization Through Reinforcement Learning and Neural Networks
- (2018) E. Emary et al. IEEE Transactions on Neural Networks and Learning Systems
- An elite opposition-flower pollination algorithm for a 0-1 knapsack problem
- (2018) Mohamed Abdel Basset et al. International Journal of Bio-Inspired Computation
- An Interclass Margin Maximization Learning Algorithm for Evolving Spiking Neural Network
- (2018) Shirin Dora et al. IEEE Transactions on Cybernetics
- A Dynamic Neighborhood Learning-Based Gravitational Search Algorithm
- (2018) Aizhu Zhang et al. IEEE Transactions on Cybernetics
- A Simple Brain Storm Optimization Algorithm With a Periodic Quantum Learning Strategy
- (2018) Zhenshou Song et al. IEEE Access
- Semi-supervised community detection based on Distance Dynamics
- (2018) Lilin Fan et al. IEEE Access
- Binary Moth Search Algorithm for Discounted {0-1} Knapsack Problem
- (2018) Yan-Hong Feng et al. IEEE Access
- Discrete comprehensive learning particle swarm optimization algorithm with Metropolis acceptance criterion for traveling salesman problem
- (2018) Yiwen Zhong et al. Swarm and Evolutionary Computation
- A new learning-based adaptive multi-objective evolutionary algorithm
- (2018) Jianyong Sun et al. Swarm and Evolutionary Computation
- Synergism of Firefly Algorithm and Q-Learning for Robot Arm Path Planning
- (2018) Arup Kumar Sadhu et al. Swarm and Evolutionary Computation
- Opposition based learning: A literature review
- (2018) Sedigheh Mahdavi et al. Swarm and Evolutionary Computation
- A differential evolution algorithm with dual preferred learning mutation
- (2018) Meijun Duan et al. APPLIED INTELLIGENCE
- A learning automata-based clustering algorithm using ant swarm intelligence
- (2018) Babak Anari et al. EXPERT SYSTEMS
- Scheduling Semiconductor Testing Facility by Using Cuckoo Search Algorithm With Reinforcement Learning and Surrogate Modeling
- (2018) ZhengCai Cao et al. IEEE Transactions on Automation Science and Engineering
- Adaptive iterative learning control based on particle swarm optimization
- (2018) Qun Gu et al. JOURNAL OF SUPERCOMPUTING
- Learning–interaction–diversification framework for swarm intelligence optimizers: a unified perspective
- (2018) Xianghua Chu et al. NEURAL COMPUTING & APPLICATIONS
- Cellular learning automata based bare bones PSO with maximum likelihood rotated mutations
- (2018) Reza Vafashoar et al. Swarm and Evolutionary Computation
- Global genetic learning particle swarm optimization with diversity enhancement by ring topology
- (2018) Anping Lin et al. Swarm and Evolutionary Computation
- Multi-objective optimization of the environmental-economic dispatch with reinforcement learning based on non-dominated sorting genetic algorithm
- (2018) Teodoro Cardoso Bora et al. APPLIED THERMAL ENGINEERING
- Multi-Leader Comprehensive Learning Particle Swarm Optimization with Adaptive Mutation for Economic Load Dispatch Problems
- (2018) Anping Lin et al. Energies
- Backtracking search optimization algorithm based on knowledge learning
- (2018) Debao Chen et al. INFORMATION SCIENCES
- Behavior of crossover operators in NSGA-III for large-scale optimization problems
- (2018) Jiao-Hong Yi et al. INFORMATION SCIENCES
- A distributed cooperative learning algorithm based on Zero-Gradient-Sum strategy using Radial Basis Function Network
- (2018) Jin Xie et al. NEUROCOMPUTING
- Predicting remaining useful life of rolling bearings based on deep feature representation and long short-term memory neural network
- (2018) Wentao Mao et al. Advances in Mechanical Engineering
- Effective invasive weed optimization algorithms for distributed assembly permutation flowshop problem with total flowtime criterion
- (2018) Hong-Yan Sang et al. Swarm and Evolutionary Computation
- A novel deep output kernel learning method for bearing fault structural diagnosis
- (2018) Wentao Mao et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Multi-objective firefly algorithm based on compensation factor and elite learning
- (2018) Li Lv et al. Future Generation Computer Systems-The International Journal of eScience
- A hybrid self-adaptive sine cosine algorithm with opposition based learning
- (2018) Shubham Gupta et al. EXPERT SYSTEMS WITH APPLICATIONS
- Differential mutation and novel social learning particle swarm optimization algorithm
- (2018) Xinming Zhang et al. INFORMATION SCIENCES
- Solving randomized time-varying knapsack problems by a novel global firefly algorithm
- (2017) Yanhong Feng et al. ENGINEERING WITH COMPUTERS
- An Evolutionary Transfer Reinforcement Learning Framework for Multiagent Systems
- (2017) Yaqing Hou et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Gesture segmentation based on a two-phase estimation of distribution algorithm
- (2017) Ke Liu et al. INFORMATION SCIENCES
- Learning backtracking search optimisation algorithm and its application
- (2017) Debao Chen et al. INFORMATION SCIENCES
- A return-cost-based binary firefly algorithm for feature selection
- (2017) Yong Zhang et al. INFORMATION SCIENCES
- A novel oriented cuckoo search algorithm to improve DV-Hop performance for cyber–physical systems
- (2017) Zhihua Cui et al. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
- Multi-objective differential evolution with dynamic covariance matrix learning for multi-objective optimization problems with variable linkages
- (2017) Qiaoyong Jiang et al. KNOWLEDGE-BASED SYSTEMS
- A novel hybrid teaching learning based multi-objective particle swarm optimization
- (2017) Tingli Cheng et al. NEUROCOMPUTING
- Multi-task ranking SVM for image cosegmentation
- (2017) Xianpeng Liang et al. NEUROCOMPUTING
- Reinforcement Learning-Based Differential Evolution With Cooperative Coevolution for a Compensatory Neuro-Fuzzy Controller
- (2017) Cheng-Hung Chen et al. IEEE Transactions on Neural Networks and Learning Systems
- Improving Metaheuristic Algorithms With Information Feedback Models
- (2017) Gai-Ge Wang et al. IEEE Transactions on Cybernetics
- Opposition based learning ingrained shuffled frog-leaping algorithm
- (2017) Tarun Kumar Sharma et al. Journal of Computational Science
- An improved optimization method based on krill herd and artificial bee colony with information exchange
- (2017) Heqi Wang et al. Memetic Computing
- Improved Differential Evolution With a Modified Orthogonal Learning Strategy
- (2017) Yu-Xiang Lei et al. IEEE Access
- Query-Based Learning for Dynamic Particle Swarm Optimization
- (2017) Ray-I Chang et al. IEEE Access
- Meta-heuristic framework: Quantum inspired binary grey wolf optimizer for unit commitment problem
- (2017) K Srikanth et al. COMPUTERS & ELECTRICAL ENGINEERING
- Multiswarm comprehensive learning particle swarm optimization for solving multiobjective optimization problems
- (2017) Xiang Yu et al. PLoS One
- Three-dimensional path planning for UCAV using an improved bat algorithm
- (2016) Gai-Ge Wang et al. AEROSPACE SCIENCE AND TECHNOLOGY
- Cooperative learning for radial basis function networks using particle swarm optimization
- (2016) Alex Alexandridis et al. APPLIED SOFT COMPUTING
- Accuracy-Based Learning Classifier Systems for Multistep Reinforcement Learning: A Fuzzy Logic Approach to Handling Continuous Inputs and Learning Continuous Actions
- (2016) Gang Chen et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- BNC-PSO: structure learning of Bayesian networks by Particle Swarm Optimization
- (2016) S. Gheisari et al. INFORMATION SCIENCES
- Learning of interval and general type-2 fuzzy logic systems using simulated annealing: Theory and practice
- (2016) M. Almaraashi et al. INFORMATION SCIENCES
- Social learning optimization (SLO) algorithm paradigm and its application in QoS-aware cloud service composition
- (2016) Zhi-Zhong Liu et al. INFORMATION SCIENCES
- A novel fruit fly framework for multi-objective shape design of tubular linear synchronous motor
- (2016) Rizk M. Rizk-Allah et al. JOURNAL OF SUPERCOMPUTING
- Multiobjective sorting-based learning particle swarm optimization for continuous optimization
- (2016) Gang Xu et al. Natural Computing
- Opposition-based krill herd algorithm with Cauchy mutation and position clamping
- (2016) Gai-Ge Wang et al. NEUROCOMPUTING
- Bearing fault diagnosis with auto-encoder extreme learning machine: A comparative study
- (2016) Wentao Mao et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
- Constrained differential evolution using generalized opposition-based learning
- (2016) Wenhong Wei et al. SOFT COMPUTING
- Biogeography-based learning particle swarm optimization
- (2016) Xu Chen et al. SOFT COMPUTING
- A new metaheuristic optimisation algorithm motivated by elephant herding behaviour
- (2016) Gai Ge Wang et al. International Journal of Bio-Inspired Computation
- An Orthogonal Evolutionary Algorithm With Learning Automata for Multiobjective Optimization
- (2016) Cai Dai et al. IEEE Transactions on Cybernetics
- Genetic Learning Particle Swarm Optimization
- (2016) Yue-Jiao Gong et al. IEEE Transactions on Cybernetics
- Particle Swarm Optimization With Interswarm Interactive Learning Strategy
- (2016) Quande Qin et al. IEEE Transactions on Cybernetics
- Multiobjective sorting-based learning particle swarm optimization for continuous optimization
- (2016) Gang Xu et al. Natural Computing
- Opposition-based learning in the shuffled bidirectional differential evolution algorithm
- (2016) Morteza Alinia Ahandani Swarm and Evolutionary Computation
- Improved probabilistic neural networks with self-adaptive strategies for transformer fault diagnosis problem
- (2016) Jiao-Hong Yi et al. Advances in Mechanical Engineering
- Lagrange Interpolation Learning Particle Swarm Optimization
- (2016) Zhang Kai et al. PLoS One
- The Ant Lion Optimizer
- (2015) Seyedali Mirjalili ADVANCES IN ENGINEERING SOFTWARE
- Immunological Algorithm-based Neural Network Learning for Sales Forecasting
- (2015) Zhen-Yao Chen et al. APPLIED ARTIFICIAL INTELLIGENCE
- Enhancing the effectiveness of Ant Colony Decision Tree algorithms by co-learning
- (2015) Urszula Boryczka et al. APPLIED SOFT COMPUTING
- A novel parallel multi-swarm algorithm based on comprehensive learning particle swarm optimization
- (2015) Şaban Gülcü et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Learning Value Functions in Interactive Evolutionary Multiobjective Optimization
- (2015) Jurgen Branke et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Hybrid learning clonal selection algorithm
- (2015) Yong Peng et al. INFORMATION SCIENCES
- Opposition-based learning in shuffled frog leaping: An application for parameter identification
- (2015) Morteza Alinia Ahandani et al. INFORMATION SCIENCES
- A social learning particle swarm optimization algorithm for scalable optimization
- (2015) Ran Cheng et al. INFORMATION SCIENCES
- An effective discrete invasive weed optimization algorithm for lot-streaming flowshop scheduling problems
- (2015) Hong-Yan Sang et al. JOURNAL OF INTELLIGENT MANUFACTURING
- A Q-learning-based swarm optimization algorithm for economic dispatch problem
- (2015) Yi-Zeng Hsieh et al. NEURAL COMPUTING & APPLICATIONS
- Self-adaptive extreme learning machine
- (2015) Gai-Ge Wang et al. NEURAL COMPUTING & APPLICATIONS
- Monarch butterfly optimization
- (2015) Gai-Ge Wang et al. NEURAL COMPUTING & APPLICATIONS
- Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems
- (2015) Seyedali Mirjalili NEURAL COMPUTING & APPLICATIONS
- Feature selection algorithm based on bare bones particle swarm optimization
- (2015) Yong Zhang et al. NEUROCOMPUTING
- SAMCCTLBO: a multi-class cooperative teaching–learning-based optimization algorithm with simulated annealing
- (2015) Debao Chen et al. SOFT COMPUTING
- Global harmony search with generalized opposition-based learning
- (2015) Zhaolu Guo et al. SOFT COMPUTING
- Visual-Patch-Attention-Aware Saliency Detection
- (2015) Muwei Jian et al. IEEE Transactions on Cybernetics
- Artificial Bee Colony Algorithm Based on Information Learning
- (2015) Wei-Feng Gao et al. IEEE Transactions on Cybernetics
- A novel hybrid model using teaching–learning-based optimization and a support vector machine for commodity futures index forecasting
- (2015) Shom Prasad Das et al. International Journal of Machine Learning and Cybernetics
- Heterogeneous comprehensive learning particle swarm optimization with enhanced exploration and exploitation
- (2015) Nandar Lynn et al. Swarm and Evolutionary Computation
- Grey Wolf Optimizer
- (2014) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- Comprehensive learning particle swarm optimization based memetic algorithm for model selection in short-term load forecasting using support vector regression
- (2014) Zhongyi Hu et al. APPLIED SOFT COMPUTING
- An improved particle swarm optimizer based on tabu detecting and local learning strategy in a shrunk search space
- (2014) Xuewen Xia et al. APPLIED SOFT COMPUTING
- Differential evolution based on covariance matrix learning and bimodal distribution parameter setting
- (2014) Yong Wang et al. APPLIED SOFT COMPUTING
- Teaching and peer-learning particle swarm optimization
- (2014) Wei Hong Lim et al. APPLIED SOFT COMPUTING
- An adaptive two-layer particle swarm optimization with elitist learning strategy
- (2014) Wei Hong Lim et al. INFORMATION SCIENCES
- Bidirectional teaching and peer-learning particle swarm optimization
- (2014) Wei Hong Lim et al. INFORMATION SCIENCES
- Illumination-insensitive texture discrimination based on illumination compensation and enhancement
- (2014) Muwei Jian et al. INFORMATION SCIENCES
- A hybrid particle swarm optimization method for structure learning of probabilistic relational models
- (2014) Xiao-Lin Li et al. INFORMATION SCIENCES
- A fast and efficient multi-objective evolutionary learning scheme for fuzzy rule-based classifiers
- (2014) Michela Antonelli et al. INFORMATION SCIENCES
- Chaotic Krill Herd algorithm
- (2014) Gai-Ge Wang et al. INFORMATION SCIENCES
- Interior search algorithm (ISA): A novel approach for global optimization
- (2014) Amir H. Gandomi ISA TRANSACTIONS
- Self-adaptive learning based discrete differential evolution algorithm for solving CJWTA problem
- (2014) Yu Xue et al. Journal of Systems Engineering and Electronics
- An improved fruit fly optimization algorithm for continuous function optimization problems
- (2014) Quan-Ke Pan et al. KNOWLEDGE-BASED SYSTEMS
- MOEA/D with opposition-based learning for multiobjective optimization problem
- (2014) Xiaoliang Ma et al. NEUROCOMPUTING
- Integrating opposition-based learning into the evolution equation of bare-bones particle swarm optimization
- (2014) Hao Liu et al. SOFT COMPUTING
- An effective krill herd algorithm with migration operator in biogeography-based optimization
- (2013) Gai-Ge Wang et al. APPLIED MATHEMATICAL MODELLING
- An efficient scenario-based and fuzzy self-adaptive learning particle swarm optimization approach for dynamic economic emission dispatch considering load and wind power uncertainties
- (2013) Bahman Bahmani-Firouzi et al. ENERGY
- Self-Adaptive Learning PSO-Based Deadline Constrained Task Scheduling for Hybrid IaaS Cloud
- (2013) Xingquan Zuo et al. IEEE Transactions on Automation Science and Engineering
- Facial-feature detection and localization based on a hierarchical scheme
- (2013) Muwei Jian et al. INFORMATION SCIENCES
- Quadratic interpolation based orthogonal learning particle swarm optimization algorithm
- (2013) Ruochen Liu et al. Natural Computing
- Enhancing the performance of cuckoo search algorithm using orthogonal learning method
- (2013) Xiangtao Li et al. NEURAL COMPUTING & APPLICATIONS
- Hybrid self-adaptive learning based particle swarm optimization and support vector regression model for grade estimation
- (2013) Xiao-li Li et al. NEUROCOMPUTING
- Parameter estimation for chaotic systems using the cuckoo search algorithm with an orthogonal learning method
- (2012) Xiang-Tao Li et al. Chinese Physics B
- Krill herd: A new bio-inspired optimization algorithm
- (2012) Amir Hossein Gandomi et al. Communications in Nonlinear Science and Numerical Simulation
- Non-Dominated Sorting Genetic Algorithm Based on Reinforcement Learning to Optimization of Broad-Band Reflector Antennas Satellite
- (2012) Teodoro C. Bora et al. IEEE TRANSACTIONS ON MAGNETICS
- Function optimisation by learning automata
- (2012) Q.H. Wu et al. INFORMATION SCIENCES
- Scheduling with a position-weighted learning effect based on sum-of-logarithm-processing-times and job position
- (2012) T.C.E. Cheng et al. INFORMATION SCIENCES
- Evolutionary dynamic optimization: A survey of the state of the art
- (2012) Trung Thanh Nguyen et al. Swarm and Evolutionary Computation
- CLA-DE: a hybrid model based on cellular learning automata for numerical optimization
- (2011) R. Vafashoar et al. APPLIED INTELLIGENCE
- A hybrid optimization method of harmony search and opposition-based learning
- (2011) X. Z. Gao et al. ENGINEERING OPTIMIZATION
- Particle swarm optimization with query-based learning for multi-objective power contract problem
- (2011) Ray-I Chang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Enhancing particle swarm optimization using generalized opposition-based learning
- (2011) Hui Wang et al. INFORMATION SCIENCES
- A note on the learning automata based algorithms for adaptive parameter selection in PSO
- (2010) A.B. Hashemi et al. APPLIED SOFT COMPUTING
- Orthogonal Learning Particle Swarm Optimization
- (2010) Zhi-Hui Zhan et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Self-adaptive learning based particle swarm optimization
- (2010) Yu Wang et al. INFORMATION SCIENCES
- Example-based learning particle swarm optimization for continuous optimization
- (2010) Han Huang et al. INFORMATION SCIENCES
- Differential Evolution for learning the classification method PROAFTN
- (2010) Feras Al-Obeidat et al. KNOWLEDGE-BASED SYSTEMS
- Firefly algorithm, stochastic test functions and design optimisation
- (2010) Xin She Yang International Journal of Bio-Inspired Computation
- Comprehensive learning particle swarm optimization for reactive power dispatch
- (2009) K. Mahadevan et al. APPLIED SOFT COMPUTING
- A hybrid cooperative–comprehensive learning based PSO algorithm for image segmentation using multilevel thresholding
- (2007) M MAITRA et al. EXPERT SYSTEMS WITH APPLICATIONS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now