Journal ArticleDOI
A comparative study of Artificial Bee Colony algorithm
Dervis Karaboga,Bahriye Akay +1 more
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Results show that the performance of the ABC is better than or similar to those of other population-based algorithms with the advantage of employing fewer control parameters.About:
This article is published in Applied Mathematics and Computation.The article was published on 2009-08-01. It has received 2835 citations till now. The article focuses on the topics: Artificial bee colony algorithm & Meta-optimization.read more
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An effective bacterial foraging optimizer for global optimization
Weiguo Zhao,Liying Wang +1 more
TL;DR: An effective bacterial foraging optimizer for global optimization is presented that utilizes combination of gravitational search and swarm diversity strategies and can be extended to other global optimization problems.
Journal ArticleDOI
A cloud model based fruit fly optimization algorithm
TL;DR: A normal cloud model based FOA (CMFOA) is proposed to improve the convergence performance of FOA, which can obtain better or competitive performance for most test functions compared with three improved FOAs in recent literatures and seven state-of-the-arts of intelligent optimization algorithm.
Journal ArticleDOI
Simulated annealing based artificial bee colony algorithm for global numerical optimization
TL;DR: Simulated annealing based ABC algorithm is introduced into employed bees search process to improve the exploitation of the algorithm and shows that SAABC algorithm can outperform ABC and global best guided ABC algorithms in most of the experiments.
Posted Content
A swarm optimization algorithm inspired in the behavior of the social-spider
TL;DR: In this article, a swarm algorithm called Social Spider Optimization (SSO) is proposed for solving optimization tasks, which is based on the simulation of cooperative behavior of social-spiders.
Journal ArticleDOI
Cultural coyote optimization algorithm applied to a heavy duty gas turbine operation
Juliano Pierezan,Gabriel Maidl,Eduardo Massashi Yamao,Leandro dos Santos Coelho,Leandro dos Santos Coelho,Viviana Cocco Mariani,Viviana Cocco Mariani +6 more
TL;DR: The results show that the proposed Cultural Coyote Optimization Algorithm (CCOA) outperforms its counterpart for benchmark functions and the convergence analysis shows that the cultural mechanism employed in the CCOA has improved the COA balance between exploration and exploitation.
References
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Proceedings ArticleDOI
Particle swarm optimization
TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
Book
Adaptation in natural and artificial systems
TL;DR: Names of founding work in the area of Adaptation and modiication, which aims to mimic biological optimization, and some (Non-GA) branches of AI.
Journal ArticleDOI
Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces
Rainer Storn,Kenneth Price +1 more
TL;DR: In this article, a new heuristic approach for minimizing possibly nonlinear and non-differentiable continuous space functions is presented, which requires few control variables, is robust, easy to use, and lends itself very well to parallel computation.
Book
Self-Organizing Maps
TL;DR: The Self-Organising Map (SOM) algorithm was introduced by the author in 1981 as mentioned in this paper, and many applications form one of the major approaches to the contemporary artificial neural networks field, and new technologies have already been based on it.
Book
Genetic Algorithms + Data Structures = Evolution Programs
TL;DR: GAs and Evolution Programs for Various Discrete Problems, a Hierarchy of Evolution Programs and Heuristics, and Conclusions.