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Proceedings ArticleDOI

Parallelized Artificial Bee Colony with Ripple-communication Strategy

TLDR
A communication strategy for the parallelized Artificial Bee Colony (ABC) optimization is proposed for solving numerical optimization problems and increases the accuracy of the ABC on finding the near best solution.
Abstract
In this paper, a communication strategy for the parallelized Artificial Bee Colony (ABC) optimization is proposed for solving numerical optimization problems. The artificial agents are split into several independent subpopulations based on the original structure of the ABC, and the proposed communication strategy provides the information flow for the agents to communicate in different subpopulations. Three benchmark functions are used to test the behavior of convergence, the accuracy, and the speed of the proposed method. According to the experimental result, the proposed communicational strategy increases the accuracy of the ABC on finding the near best solution.

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Citations
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Journal ArticleDOI

A comprehensive survey: artificial bee colony (ABC) algorithm and applications

TL;DR: This work presents a comprehensive survey of the advances with ABC and its applications and it is hoped that this survey would be very beneficial for the researchers studying on SI, particularly ABC algorithm.

Artificial bee colony algorithm, its variants and applications: A survey.

TL;DR: A thorough and extensive overview of most research work focusing on the application of Artificial Bee Colony Algorithm is provided, with the expectation that it would serve as a reference material to both old and new, incoming researchers to the field, to support their understanding of current trends and assist their future research prospects and directions.
Journal ArticleDOI

Computing with the collective intelligence of honey bees – A survey

TL;DR: This paper outlines the major bees-inspired algorithms, their prospects in the respective problem domains and their similarities and dissimilarities with the other swarm intelligence algorithms, and provides an account of the engineering applications of these algorithms.
Journal ArticleDOI

A survey on impact assessment of DG and FACTS controllers in power systems

TL;DR: In this article, a comprehensive survey on application of various conventional, optimization and artificial intelligence (AI) based computational techniques for impact assessment of optimally placed and coordinated control of distributed generations (DGs) and flexible AC transmission systems (FACTS) controllers in power systems (PSs).
Journal ArticleDOI

A review on Artificial Bee Colony algorithm

TL;DR: The aim of this paper is to provide up to date enlightenment in the field of ABC algorithm and its applications.
References
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Journal ArticleDOI

Ant colony system: a cooperative learning approach to the traveling salesman problem

TL;DR: The results show that the ACS outperforms other nature-inspired algorithms such as simulated annealing and evolutionary computation, and it is concluded comparing ACS-3-opt, a version of the ACS augmented with a local search procedure, to some of the best performing algorithms for symmetric and asymmetric TSPs.
Journal ArticleDOI

A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem

TL;DR: A discrete artificial bee colony algorithm is proposed to solve the lot-streaming flow shop scheduling problem with the criterion of total weighted earliness and tardiness penalties under both the idling and no-idling cases.
Proceedings Article

The Island Model Genetic Algorithm: On Separability, Population Size and Convergence

TL;DR: This work uses the infinite population models of simple genetic algorithms to study how Island Models can track multiple search trajectories and introduces a simple model for better understanding when Island Model genetic algorithms may have an advantage when processing some test problems.
Journal Article

A Parallel Particle Swarm Optimization Algorithm with Communication Strategies

TL;DR: A parallel version of the particle swarm optimization (PPSO) algorithm together with three communication strategies which can be used according to the independence of the data, which demonstrates the usefulness of the proposed PPSO algorithm.