A self-adaptive strategy based firefly algorithm for constrained engineering design problems
出版年份 2021 全文链接
标题
A self-adaptive strategy based firefly algorithm for constrained engineering design problems
作者
关键词
Firefly algorithm, Attraction model, Self-adaptive, Penalty function, Optimization design
出版物
APPLIED SOFT COMPUTING
Volume 107, Issue -, Pages 107417
出版商
Elsevier BV
发表日期
2021-04-16
DOI
10.1016/j.asoc.2021.107417
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。- A smart metaheuristic algorithm for solving engineering problems
- (2020) Dunia Sattar et al. ENGINEERING WITH COMPUTERS
- Reinforced cuckoo search algorithm-based multimodal optimization
- (2019) Kalaipriyan Thirugnanasambandam et al. APPLIED INTELLIGENCE
- A heuristic survival signature based approach for reliability-redundancy allocation
- (2019) Xianzhen Huang et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Flexible time-of-use tariff with dynamic demand using artificial bee colony with transferred memory scheme
- (2019) Xianneng Li et al. Swarm and Evolutionary Computation
- A hybrid memetic-ant colony optimization algorithm for the home health care problem with time window, synchronization and working time balancing
- (2019) Jérémy Decerle et al. Swarm and Evolutionary Computation
- Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification
- (2019) Yu Xue et al. ACM Transactions on Knowledge Discovery from Data
- Optimizing sequential diagnostic strategy for large-scale engineering systems using a quantum-inspired genetic algorithm: A comparative study
- (2019) Jinsong Yu et al. APPLIED SOFT COMPUTING
- Self-adaptive parameter and strategy based particle swarm optimization for large-scale feature selection problems with multiple classifiers
- (2019) Yu Xue et al. APPLIED SOFT COMPUTING
- A modified firefly algorithm for global minimum optimization
- (2018) Aref Yelghi et al. APPLIED SOFT COMPUTING
- New target performance approach for a super parametric convex model of non-probabilistic reliability-based design optimization
- (2018) Zeng Meng et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- An improved artificial bee colony algorithm based on elite group guidance and combined breadth-depth search strategy
- (2018) Depeng Kong et al. INFORMATION SCIENCES
- A new and efficient firefly algorithm for numerical optimization problems
- (2018) Xiuqin Pan et al. NEURAL COMPUTING & APPLICATIONS
- Revisiting Genetic Network Programming (GNP): Towards the Simplified Genetic Operators
- (2018) Xianneng Li et al. IEEE Access
- Adaptive modified firefly algorithm for optimal coordination of overcurrent relays
- (2017) Anang Tjahjono et al. IET Generation Transmission & Distribution
- Firefly algorithm with neighborhood attraction
- (2017) Hui Wang et al. INFORMATION SCIENCES
- A self-adaptive artificial bee colony algorithm based on global best for global optimization
- (2017) Yu Xue et al. SOFT COMPUTING
- Self-adaptive particle swarm optimization: a review and analysis of convergence
- (2017) Kyle Robert Harrison et al. Swarm Intelligence
- A novel nature-inspired algorithm for optimization: Virus colony search
- (2016) Mu Dong Li et al. ADVANCES IN ENGINEERING SOFTWARE
- The Whale Optimization Algorithm
- (2016) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- A combined model based on multiple seasonal patterns and modified firefly algorithm for electrical load forecasting
- (2016) Liye Xiao et al. APPLIED ENERGY
- Optimal placement and sizing of voltage controlled distributed generators in unbalanced distribution networks using supervised firefly algorithm
- (2016) M.M. Othman et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Application of firefly algorithm for design optimization of a shell and tube heat exchanger from economic point of view
- (2016) Dillip Kumar Mohanty INTERNATIONAL JOURNAL OF THERMAL SCIENCES
- Firefly Algorithm for Structural Search
- (2016) Guillermo Avendaño-Franco et al. Journal of Chemical Theory and Computation
- Analysis of Constrained Optimization Problems by the SCE-UA with an Adaptive Penalty Function
- (2016) Sangho Lee et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- Thermal buckling optimisation of composite plates using firefly algorithm
- (2016) S. Kamarian et al. JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE
- A Non-homogeneous Firefly Algorithm and Its Convergence Analysis
- (2016) Ngaam J. Cheung et al. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
- Computational efficiency of accelerated particle swarm optimization combined with different chaotic maps for global optimization
- (2016) Dixiong Yang et al. NEURAL COMPUTING & APPLICATIONS
- Load frequency controller design of a two-area system composing of PV grid and thermal generator via firefly algorithm
- (2016) S. M. Abd-Elazim et al. NEURAL COMPUTING & APPLICATIONS
- Optimal feature selection using distance-based discrete firefly algorithm with mutual information criterion
- (2016) Long Zhang et al. NEURAL COMPUTING & APPLICATIONS
- Optimization of wavelet neural networks with the firefly algorithm for approximation problems
- (2016) Zarita Zainuddin et al. NEURAL COMPUTING & APPLICATIONS
- Firefly algorithm with adaptive control parameters
- (2016) Hui Wang et al. SOFT COMPUTING
- Application firefly algorithm for peak-to-average power ratio reduction in OFDM systems
- (2016) Ho-Lung Hung TELECOMMUNICATION SYSTEMS
- Firefly algorithm with random attraction
- (2016) Hui Wang et al. International Journal of Bio-Inspired Computation
- Wind turbine micrositing by using the firefly algorithm
- (2015) Shafiq-ur-Rehman Massan et al. APPLIED SOFT COMPUTING
- Adaptive firefly algorithm with chaos for mechanical design optimization problems
- (2015) Adil Baykasoğlu et al. APPLIED SOFT COMPUTING
- A nature-inspired firefly algorithm based approach for nanoscale leakage optimal RTL structure
- (2015) Elias Kougianos et al. INTEGRATION-THE VLSI JOURNAL
- Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm
- (2015) Seyedali Mirjalili KNOWLEDGE-BASED SYSTEMS
- An integrated approach to region based image retrieval using firefly algorithm and support vector machine
- (2015) T. Kanimozhi et al. NEUROCOMPUTING
- Numerical solution of systems of second-order boundary value problems using continuous genetic algorithm
- (2014) Omar Abu Arqub et al. INFORMATION SCIENCES
- A novel wise step strategy for firefly algorithm
- (2014) Shuhao Yu et al. INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS
- A modified firefly algorithm based on light intensity difference
- (2014) Bin Wang et al. JOURNAL OF COMBINATORIAL OPTIMIZATION
- Modified firefly algorithm using quaternion representation
- (2013) Iztok Fister et al. EXPERT SYSTEMS WITH APPLICATIONS
- A comprehensive review of firefly algorithms
- (2013) Iztok Fister et al. Swarm and Evolutionary Computation
- Firefly algorithm with chaos
- (2012) A.H. Gandomi et al. Communications in Nonlinear Science and Numerical Simulation
- Reserve Constrained Dynamic Economic Dispatch: A New Fast Self-Adaptive Modified Firefly Algorithm
- (2012) Taher Niknam et al. IEEE Systems Journal
- Mixed variable structural optimization using Firefly Algorithm
- (2011) Amir Hossein Gandomi et al. COMPUTERS & STRUCTURES
- Firefly algorithm, stochastic test functions and design optimisation
- (2010) Xin She Yang International Journal of Bio-Inspired Computation
- Hybrid Nelder–Mead simplex search and particle swarm optimization for constrained engineering design problems
- (2008) Erwie Zahara et al. EXPERT SYSTEMS WITH APPLICATIONS
- An empirical study about the usefulness of evolution strategies to solve constrained optimization problems
- (2008) Efrén Mezura-Montes et al. INTERNATIONAL JOURNAL OF GENERAL SYSTEMS
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 MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started