A multi-strategy enhanced salp swarm algorithm for global optimization
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A multi-strategy enhanced salp swarm algorithm for global optimization
Authors
Keywords
-
Journal
ENGINEERING WITH COMPUTERS
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-07-11
DOI
10.1007/s00366-020-01099-4
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Orthogonal Learning Harmonizing Mutation-based Fruit Fly-inspired Optimizers
- (2020) Yutao Yang et al. APPLIED MATHEMATICAL MODELLING
- Parameters identification of photovoltaic cell models using enhanced exploratory salp chains-based approach
- (2020) Abdelkader Abbassi et al. ENERGY
- Orthogonal Nelder-Mead moth flame method for parameters identification of photovoltaic modules
- (2020) Hongliang Zhang et al. ENERGY CONVERSION AND MANAGEMENT
- Boosted binary Harris hawks optimizer and feature selection
- (2020) Yanan Zhang et al. ENGINEERING WITH COMPUTERS
- Exploratory Differential Ant Lion-based Optimization
- (2020) Mingjing Wang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Orthogonally adapted Harris hawks optimization for parameter estimation of photovoltaic models
- (2020) Shan Jiao et al. ENERGY
- Nature-inspired hybrid techniques of IWO, DA, ES, GA, and ICA, validated through a k-fold validation process predicting monthly natural gas consumption
- (2020) Weibiao Qiao et al. ENERGY AND BUILDINGS
- Levy-based antlion-inspired optimizers with orthogonal learning scheme
- (2020) Abdoul Fatakhou Ba et al. ENGINEERING WITH COMPUTERS
- Orthogonally-designed adapted grasshopper optimization: A comprehensive analysis
- (2020) Zhangze Xu et al. EXPERT SYSTEMS WITH APPLICATIONS
- Slime mould algorithm: A new method for stochastic optimization
- (2020) Shimin Li et al. Future Generation Computer Systems-The International Journal of eScience
- Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies
- (2020) Hao Chen et al. Future Generation Computer Systems-The International Journal of eScience
- Novel bio-inspired memetic salp swarm algorithm and application to MPPT for PV systems considering partial shading condition
- (2019) Bo Yang et al. JOURNAL OF CLEANER PRODUCTION
- A balanced whale optimization algorithm for constrained engineering design problems
- (2019) Huiling Chen et al. APPLIED MATHEMATICAL MODELLING
- Efficient Hybrid Nature-Inspired Binary Optimizers for Feature Selection
- (2019) Majdi Mafarja et al. Cognitive Computation
- Multi-strategy boosted mutative whale-inspired optimization approaches
- (2019) Jie Luo et al. APPLIED MATHEMATICAL MODELLING
- Chaos-enhanced synchronized bat optimizer
- (2019) Helong Yu et al. APPLIED MATHEMATICAL MODELLING
- Harris hawks optimization: Algorithm and applications
- (2019) Ali Asghar Heidari et al. Future Generation Computer Systems-The International Journal of eScience
- An evolutionary gravitational search-based feature selection
- (2019) Mohammad Taradeh et al. INFORMATION SCIENCES
- Harmonized salp chain-built optimization
- (2019) Shubham Gupta et al. ENGINEERING WITH COMPUTERS
- A multi-strategy enhanced sine cosine algorithm for global optimization and constrained practical engineering problems
- (2019) Huiling Chen et al. APPLIED MATHEMATICS AND COMPUTATION
- An enhanced Bacterial Foraging Optimization and its application for training kernel extreme learning machine
- (2019) Huiling Chen et al. APPLIED SOFT COMPUTING
- Time-varying hierarchical chains of salps with random weight networks for feature selection
- (2019) Hossam Faris et al. EXPERT SYSTEMS WITH APPLICATIONS
- Gaussian mutational chaotic fruit fly-built optimization and feature selection
- (2019) Xiang Zhang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Efficient multi-population outpost fruit fly-driven optimizers: Framework and advances in support vector machines
- (2019) Huiling Chen et al. EXPERT SYSTEMS WITH APPLICATIONS
- Advanced orthogonal learning-driven multi-swarm sine cosine optimization: Framework and case studies
- (2019) Hao Chen et al. EXPERT SYSTEMS WITH APPLICATIONS
- A novel chaotic salp swarm algorithm for global optimization and feature selection
- (2018) Gehad Ismail Sayed et al. APPLIED INTELLIGENCE
- Orthogonal learning competitive swarm optimizer for economic dispatch problems
- (2018) Guojiang Xiong et al. APPLIED SOFT COMPUTING
- Modelling and optimization of ultimate bearing capacity of strip footing near a slope by soft computing methods
- (2018) Hossein Moayedi et al. APPLIED SOFT COMPUTING
- Forecasting Energy-Related CO2 Emissions Employing a Novel SSA-LSSVM Model: Considering Structural Factors in China
- (2018) Huiru Zhao et al. Energies
- An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems
- (2018) Hossam Faris et al. KNOWLEDGE-BASED SYSTEMS
- Extracting optimal parameters of PEM fuel cells using Salp Swarm Optimizer
- (2018) Attia A. El-Fergany RENEWABLE ENERGY
- Swarm intelligence-based approach for optimal design of CMOS differential amplifier and comparator circuit using a hybrid salp swarm algorithm
- (2018) Sasikumar Asaithambi et al. REVIEW OF SCIENTIFIC INSTRUMENTS
- Applicability of a CPT-Based Neural Network Solution in Predicting Load-Settlement Responses of Bored Pile
- (2018) Hossein Moayedi et al. International Journal of Geomechanics
- Practical Considerations for Optimal Conductor Reinforcement and Hosting Capacity Enhancement in Radial Distribution Systems
- (2018) Sherif M. Ismael et al. IEEE Access
- An improved grasshopper optimization algorithm with application to financial stress prediction
- (2018) Jie Luo et al. APPLIED MATHEMATICAL MODELLING
- Asynchronous accelerating multi-leader salp chains for feature selection
- (2018) Ibrahim Aljarah et al. APPLIED SOFT COMPUTING
- A modified whale optimization algorithm for large-scale global optimization problems
- (2018) Yongjun Sun et al. EXPERT SYSTEMS WITH APPLICATIONS
- Improved salp swarm algorithm based on particle swarm optimization for feature selection
- (2018) Rehab Ali Ibrahim et al. Journal of Ambient Intelligence and Humanized Computing
- Chaotic whale optimizer variants for parameters estimation of the chaotic behavior in Permanent Magnet Synchronous Motor
- (2018) Dalia Yousri et al. APPLIED SOFT COMPUTING
- An efficient salp swarm-inspired algorithm for parameters identification of photovoltaic cell models
- (2018) Rabeh Abbassi et al. ENERGY CONVERSION AND MANAGEMENT
- An artificial neural network approach for under-reamed piles subjected to uplift forces in dry sand
- (2017) Hossein Moayedi et al. NEURAL COMPUTING & APPLICATIONS
- A short-term power load forecasting model based on the generalized regression neural network with decreasing step fruit fly optimization algorithm
- (2017) Rui Hu et al. NEUROCOMPUTING
- Improved Differential Evolution With a Modified Orthogonal Learning Strategy
- (2017) Yu-Xiang Lei et al. IEEE Access
- The Whale Optimization Algorithm
- (2016) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- Parameters identification of solar cell models using generalized oppositional teaching learning based optimization
- (2016) Xu Chen et al. ENERGY
- SCA: A Sine Cosine Algorithm for solving optimization problems
- (2016) Seyedali Mirjalili KNOWLEDGE-BASED SYSTEMS
- Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm
- (2015) Seyedali Mirjalili KNOWLEDGE-BASED SYSTEMS
- Fruit fly optimization algorithm based on differential evolution and its application on gasification process operation optimization
- (2015) Jinwei Niu et al. KNOWLEDGE-BASED SYSTEMS
- Grey Wolf Optimizer
- (2014) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- Chaotic Krill Herd algorithm
- (2014) Gai-Ge Wang et al. INFORMATION SCIENCES
- Enhancing the performance of cuckoo search algorithm using orthogonal learning method
- (2013) Xiangtao Li et al. NEURAL COMPUTING & APPLICATIONS
- Water cycle algorithm – A novel metaheuristic optimization method for solving constrained engineering optimization problems
- (2012) Hadi Eskandar et al. COMPUTERS & STRUCTURES
- Particle Swarm Optimization With an Aging Leader and Challengers
- (2012) Wei-Neng Chen et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
- (2011) Joaquín Derrac et al. Swarm and Evolutionary Computation
- Hybrid differential evolution with a simplified quadratic approximation for constrained optimization problems
- (2010) Hong Li et al. ENGINEERING OPTIMIZATION
- Orthogonal Learning Particle Swarm Optimization
- (2010) Zhi-Hui Zhan et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A hybrid genetic algorithm for twice continuously differentiable NLP problems
- (2009) Quan Yuan et al. COMPUTERS & CHEMICAL ENGINEERING
- Gaussian quantum-behaved particle swarm optimization approaches for constrained engineering design problems
- (2009) Leandro dos Santos Coelho EXPERT SYSTEMS WITH APPLICATIONS
- JADE: Adaptive Differential Evolution With Optional External Archive
- (2009) Jingqiao Zhang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Hybrid Nelder–Mead simplex search and particle swarm optimization for constrained engineering design problems
- (2008) Erwie Zahara et al. EXPERT SYSTEMS WITH APPLICATIONS
- Opposition-Based Differential Evolution
- (2008) S. Rahnamayan et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization
- (2008) A.K. Qin et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Global and local real-coded genetic algorithms based on parent-centric crossover operators
- (2006) C. García-Martínez et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now