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Self-adaptive Differential Evolution with Modified Multi-Trajectory Search for CEC’2010 Large Scale Optimization Read chapter Read first chapter

2010 | OriginalPaper | Chapter

Stochastic Ranking Particle Swarm Optimization for Constrained Engineering Design Problems

Authors : Samrat L. Sabat, Layak Ali, Siba K. Udgata

Published in: Swarm, Evolutionary, and Memetic Computing

Publisher: Springer Berlin Heidelberg

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This paper presents a novel hybrid algorithm by integrating particle swarm optimization with stochastic ranking for solving standard constrained engineering design problems. The proposed hybrid algorithm uses domain independent characteristics of stochastic ranking and faster convergence of particle swarm optimization. Performance comparison of the proposed algorithm with other popular techniques through comprehensive experimental investigations establishes the effectiveness and robustness of the proposed algorithm for solving engineering design problems.

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Metadata
Title
Stochastic Ranking Particle Swarm Optimization for Constrained Engineering Design Problems
Authors
Samrat L. Sabat
Layak Ali
Siba K. Udgata
Copyright Year
2010
Publisher
Springer Berlin Heidelberg
Book
Swarm, Evolutionary, and Memetic Computing

Print ISBN: 978-3-642-17562-6

Electronic ISBN: 978-3-642-17563-3

Copyright Year: 2010

DOI
https://doi.org/10.1007/978-3-642-17563-3_79

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