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Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Comparison between Genetic Algorithms and Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Memetic Algorithm-Based Image Watermarking Scheme
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
A discrete particle swarm optimization algorithm with fully communicated information
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
A hybrid multiagent approach for global trajectory optimization
Journal of Global Optimization
Management Option Rank Equivalence (MORE) - A new method of sensitivity analysis for decision-making
Environmental Modelling & Software
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Artificial Intelligence Review
Temperature prediction and TAIFEX forecasting based on fuzzy relationships and MTPSO techniques
Expert Systems with Applications: An International Journal
Improved shuffled frog leaping algorithm for continuous optimization problem
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Novel Memetic Algorithm for Protein Structure Prediction
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Case Indexing Using PSO and ANN in Real Time Strategy Games
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Bandwidth allocation with a particle swarm meta-heuristic for ethernet passive optical networks
Computer Communications
Using LPP and SFL for document query optimization
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Bacterial foraging with quorum sensing based optimization algorithm
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Cognitive radio spectrum allocation using evolutionary algorithms
IEEE Transactions on Wireless Communications
Variable-geometry clustering and its optimization
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
ISCIT'09 Proceedings of the 9th international conference on Communications and information technologies
A memetic multi-agent collaborative search for space trajectory optimisation
International Journal of Bio-Inspired Computation
BGSA: binary gravitational search algorithm
Natural Computing: an international journal
A novel meta-heuristic optimization algorithm inspired by group hunting of animals: Hunting search
Computers & Mathematics with Applications
Parameter estimation of chaotic systems by a nonlinear time-varying evolution PSO method
Artificial Life and Robotics
Engineering Applications of Artificial Intelligence
MTPSO algorithm for solving planar graph coloring problem
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Improved binary particle swarm optimization using catfish effect for feature selection
Expert Systems with Applications: An International Journal
A new evolutionary algorithm for non-linear economic dispatch
Expert Systems with Applications: An International Journal
Generalized reconstruction algorithm for compressed sensing
Computers and Electrical Engineering
Information Sciences: an International Journal
Information Sciences: an International Journal
Advanced Engineering Informatics
Research on edge detection algorithm of rotary kiln infrared color image
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III
A discrete shuffled frog optimization algorithm
Artificial Intelligence Review
Expert Systems with Applications: An International Journal
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Grouping-Shuffling particle swarm optimization: an improved PSO for continuous optimization
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I
Implementation of hybrid ANN-PSO algorithm on FPGA for harmonic estimation
Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence
An improved shuffled frog-leaping algorithm with extremal optimisation for continuous optimisation
Information Sciences: an International Journal
A improved SVM and its using in electric power system load forecasting
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
AIKED'12 Proceedings of the 11th WSEAS international conference on Artificial Intelligence, Knowledge Engineering and Data Bases
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part II
Information Sciences: an International Journal
A hybrid genetic algorithm for the discrete time-cost trade-off problem
Expert Systems with Applications: An International Journal
Damage detection based on improved particle swarm optimization using vibration data
Applied Soft Computing
Expert Systems with Applications: An International Journal
Optimal cyclic replacement policy in MSS maintenance via Binomial-PSO
Proceedings of the 14th annual conference on Genetic and evolutionary computation
An intelligent augmentation of particle swarm optimization with multiple adaptive methods
Information Sciences: an International Journal
Arc-elasticity and hierarchical exploration of the neighborhood of solutions in mechanical design
Advanced Engineering Informatics
Improved PSO algorithm with harmony search for complicated function optimization problems
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I
Journal of Intelligent Manufacturing
Advanced Engineering Informatics
A structural analysis of evolved complex networks-on-chip
Proceedings of the Fifth International Workshop on Network on Chip Architectures
A primary unit commitment approach with a modification process
Applied Soft Computing
Time and Frequency Analysis of Particle Swarm Trajectories for Cognitive Machines
International Journal of Cognitive Informatics and Natural Intelligence
A modified shuffled frog leaping algorithm with genetic mutation for combinatorial optimization
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
Improved shuffled frog leaping algorithm for continuous optimisation adapted SEVO toolbox
International Journal of Advanced Intelligence Paradigms
Expert Systems with Applications: An International Journal
Engineering Applications of Artificial Intelligence
On the equivalences and differences of evolutionary algorithms
Engineering Applications of Artificial Intelligence
Advanced Engineering Informatics
A differential memetic algorithm
Artificial Intelligence Review
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Evolutionary algorithms (EAs) are stochastic search methods that mimic the natural biological evolution and/or the social behavior of species. Such algorithms have been developed to arrive at near-optimum solutions to large-scale optimization problems, for which traditional mathematical techniques may fail. This paper compares the formulation and results of five recent evolutionary-based algorithms: genetic algorithms, memetic algorithms, particle swarm, ant-colony systems, and shuffled frog leaping. A brief description of each algorithm is presented along with a pseudocode to facilitate the implementation and use of such algorithms by researchers and practitioners. Benchmark comparisons among the algorithms are presented for both continuous and discrete optimization problems, in terms of processing time, convergence speed, and quality of the results. Based on this comparative analysis, the performance of EAs is discussed along with some guidelines for determining the best operators for each algorithm. The study presents sophisticated ideas in a simplified form that should be beneficial to both practitioners and researchers involved in solving optimization problems.