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Erschienen in:
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2012 | OriginalPaper | Buchkapitel

2. Advanced Optimization Techniques

verfasst von : Dr. R. Venkata Rao, Vimal J. Savsani

Erschienen in: Mechanical Design Optimization Using Advanced Optimization Techniques

Verlag: Springer London

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Abstract

This chapter presents the details of existing optimization algorithms such as Genetic Algorithm (GA), Artificial Immune Algorithm (AIA), Differential Evolution (DE), Biogeography-Based Optimization (BBO), Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), Harmony Elements Algorithm (HEA), Shuffled Frog Leaping Algorithm (SFLA) and Grenade Explosion Algorithm (GEA). The step-by-step procedure of implementation of each algorithm is presented. Some modifications made to improve the performance of PSO, ABC and HEA are also presented. In addition, four different hybrid algorithms are presented by keeping ABC as the base algorithm. The hybrid algorithms presented are: HPABC (Hybrid Particle swarm-based Artificial Bee Colony), HBABC (Hybrid Biogeography-based Artificial Bee Colony), HDABC (Hybrid Differential evolution-based Artificial Bee Colony) and HGABC (Hybrid Genetic algorithm-based Artificial Bee Colony).

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Vorheriges Kapitel Introduction
Nächstes Kapitel Mechanical Design Optimization Using the Existing Optimization Techniques
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Metadaten
Titel
Advanced Optimization Techniques
verfasst von
Dr. R. Venkata Rao
Vimal J. Savsani
Copyright-Jahr
2012
Verlag
Springer London
Buch
Mechanical Design Optimization Using Advanced Optimization Techniques

Print ISBN: 978-1-4471-2747-5

Electronic ISBN: 978-1-4471-2748-2

Copyright-Jahr: 2012

DOI
https://doi.org/10.1007/978-1-4471-2748-2_2

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