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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Multi-strategy ensemble artificial bee colony algorithm
Hui Wang,Zhijian Wu,Shahryar Rahnamayan,Hui Sun,Yong Liu,Jeng-Shyang Pan,Jeng-Shyang Pan,Jeng-Shyang Pan +7 more
TL;DR: A novel multi-strategy ensemble ABC (MEABC) algorithm, where a pool of distinct solution search strategies coexists throughout the search process and competes to produce offspring.
Journal ArticleDOI
Pareto-based discrete artificial bee colony algorithm for multi-objective flexible job shop scheduling problems
TL;DR: A hybrid Pareto-based discrete artificial bee colony algorithm for solving the multi-objective flexible job shop scheduling problem and comparisons with other recently published algorithms show the efficiency and effectiveness of the proposed algorithm.
Journal ArticleDOI
Artificial bee colony algorithm with variable search strategy for continuous optimization
TL;DR: The proposed algorithm, integrated and improved with search strategies, outperforms the basic variants and other variants of the ABC algorithm and other methods in terms of solution quality and robustness for most of the experiments.
Journal ArticleDOI
Optimization techniques for identifying soil parameters in geotechnical engineering: Comparative study and enhancement
TL;DR: In this article, a comparative study of optimization techniques for identifying soil parameters in geotechnical engineering is presented, and the identification methodology with its 3 main parts, error function, search strategy, and identification procedure, is introduced and summarized.
Journal ArticleDOI
League Championship Algorithm (LCA): An algorithm for global optimization inspired by sport championships
TL;DR: Results indicate that LCA exhibits promising performance suggesting that its further developments and practical applications would be worth investigating in the future studies.
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.