Memetic Algorithm with SIIO or BFO's Chemotaxis Mechanism as Multi-meme for Function Optimization

DOI

10.2991/iccasp-16.2017.98How to use a DOI?

Keywords

Hyper-heuristic. multi-meme. Memetic Algorithm (MA). Swine Influenza Inspired Optimization (SIIO). Bacteri-al Foraging Optimization (BFO).

Abstract

Memetic Algorithm (MA) is a metaheuristic search method. In proposed memetic algorithm two memes are used in definite proportion of refinement process with random selection. Genetic Algorithm due to its good ex-ploration capability is used as framework algorithm and Swine Influenza Inspired Optimization (SIIO) as well as chemotaxis mechanism of Bacterial Foraging Optimization (BFO) are used as memes. The memetic process is realized using global best fitness among individual health information in SIIO and by imitating the nutrient information from the bacteria of the best fitness in BFO. The proposed variant of memetic algorithm is applied on the standard benchmark functions with modal variations, discontinuity and noise properties. When the re-sults are compared, the proposed memetic algorithm shows better performance than MA using SIIO (sMA) and MA using BFO (bMA) both in terms of speed of convergence and quality of solutions.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - D. Jadhav
AU  - S. Pattnaik
PY  - 2016/12
DA  - 2016/12
TI  - Memetic Algorithm with SIIO or BFO's Chemotaxis Mechanism as Multi-meme for Function Optimization
BT  - Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)
PB  - Atlantis Press
SP  - 689
EP  - 698
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasp-16.2017.98
DO  - 10.2991/iccasp-16.2017.98
ID  - Jadhav2016/12
ER  -