Journal ArticleDOI
A comparative study of Artificial Bee Colony algorithm
Dervis Karaboga,Bahriye Akay +1 more
Reads0
Chats0
TLDR
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
Citations
More filters
Journal ArticleDOI
A novel bat algorithm with dynamic membrane structure for optimization problems
TL;DR: In this paper, the authors proposed an improved bat algorithm, namely, Dynamic Membrane-driven Bat Algorithm (DMBA), which aims at enhancing population diversity by balancing the exploration-exploitation tradeoff.
Journal ArticleDOI
Hybrid multiobjective artificial bee colony for multiple sequence alignment
TL;DR: A Hybrid Multiobjective Evolutionary Algorithm based on the behaviour of honey bees for solving the MSA problem, the hybrid multiobjective artificial bee colony (HMOABC) algorithm, which considers two objective functions with the aim of preserving the quality and consistency of the alignment.
Journal ArticleDOI
An improved artificial bee colony for facility location allocation problem of end-of-life vehicles recovery network
TL;DR: This work considered a facility location allocation problem of end-of-life vehicles recovery network, and established a mathematical model to solve it, and proposed a valid novel approach based on artificial bee colony to solve the problem.
Journal ArticleDOI
Balancing Disassembly Line in Product Recovery to Promote the Coordinated Development of Economy and Environment
Jia Liu,Shuwei Wang +1 more
TL;DR: In this article, an improved discrete artificial bee colony algorithm (DABC) was proposed for solving the sequence-dependent disassembly line balancing problem (SDDLBP), which was tested against nine other approaches.
Journal ArticleDOI
Accelerating Artificial Bee Colony algorithm with adaptive local search
TL;DR: Two modifications are proposed in the basic version of ABC to deal with these drawbacks: solution update strategy is modified by incorporating the role of fitness of the solutions and a local search based on greedy logarithmic decreasing step size is applied.
References
More filters
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.