Paper Info
Title
ABC+ES: a novel hybrid artificial bee colony algorithm with evolution strategies
Abstract
This paper has the purpose of presenting a new hybridization of the Artificial Bee Colony Algorithm (ABC) based on the evolutionary strategies (ES) found on the Evolutionary Particle Swarm Optimization (EPSO). The main motivation of this approach is to augment the original ABC in a way that combines the effectiveness and simplicity of the ABC with the robustness and increased exploitation of the Evolution Strategies. The algorithm is intended to be tested on two large-scale engineering design problem and its results compared to other optimization techniques.
Year
DOI
Venue
2014
10.1145/2598394.2602277
GECCO (Companion)
Keywords
Field
DocType
artificial bee colony,constrained optimization,evolution strategies,hybrid metaheuristic,heuristic methods,swarm intelligence
Particle swarm optimization,Artificial bee colony algorithm,Mathematical optimization,Computer science,Swarm intelligence,Multi-swarm optimization,Robustness (computer science),Engineering design process,Artificial intelligence,Machine learning,Constrained optimization,Metaheuristic
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
3
Name
Order
Citations
PageRank
Marco Antônio Florenzano Mollinetti123.07
Daniel Leal Souza262.21
Otávio Noura Teixeira3117.99