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ASME Press Select Proceedings

International Conference on Measurement and Control Engineering 2nd (ICMCE 2011)

By
Yi Xie
Yi Xie
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ISBN:
9780791859858
No. of Pages:
500
Publisher:
ASME Press
Publication date:
2011

This article presents a hybrid evolutionary algorithm (PSABC) based on Artificial Bee Colony (ABC) and particle swarm optimization (PSO). Both of the algorithms are cooperative, population-based global search swarm intelligence met heuristics. The core of this algorithm is using PSO to optimize the fitness value of population in ABC. For Evaluation purpose, the proposed algorithm is tested on number of standard optimization functions. The results of experimentations have shown the superiority of proposed algorithm over standard PSO and ABC.

Abstract
Key Words
1 Introduction
2 The ABC Algorithm
3 Particle Swarm Optimization
4 PSABC Algorithm
5 Experiments and Results
6. Summaries
References
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