Parameter determination of induction machines by hybrid genetic algorithms
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Date
2007
Journal Title
Journal ISSN
Volume Title
Publisher
SPRINGER-VERLAG BERLIN
Access Rights
info:eu-repo/semantics/closedAccess
Abstract
In general, a genetic algorithm combined with other algorithms (e.g. tabu search, simulated annealing, etc.) is well known to be a powerful approach. In this paper, an efficient hybrid approach containing local search and genetic algorithms is presented. The purpose of the using local search mechanisms is to provide better the solution quality and to increase the convergence speed. It is demonstrated that the performance of the proposed algorithms is significantly better than the conventional genetic algorithm methods.
Description
11th International Conference on Knowledge-Based Intelligent Informational and Engineering Systems/17th Italian Workshop on Neural Networks -- SEP 12-14, 2007 -- Vietri sul Mare, ITALY
Keywords
induction machine, hybrid genetic algorithm, parameter determination
Journal or Series
KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS: KES 2007 - WIRN 2007, PT I, PROCEEDINGS
WoS Q Value
N/A
Scopus Q Value
Q3
Volume
4692
