Performance of lognormal probability distribution in crossover operator of NSGA-II algorithm

Authors:
K. V. R. B. Prasad;Pravin M. Singru
Affiliations:
BITS-Pilani, Zuarinagar, Goa, India;BITS-Pilani, Zuarinagar, Goa, India
Venue:
SEAL'10 Proceedings of the 8th international conference on Simulated evolution and learning
Year:
2010

Citing 5
Cited 0

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A fast and elitist multiobjective genetic algorithm: NSGA-II

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Abstract

This paper presents an improvement in performance of elitist nondominated sorting genetic algorithm (NSGA-II) by modifying the probability distribution of crossover operator. The probability distribution of simulated binary crossover (SBX-A) operator, used in NSGA-II algorithm, is modified with lognormal distribution (SBX-LN). This algorithm is used to test twenty multiobjective functions. This NSGA-II (SBX-LN) algorithm performed well for different functions. This algorithm also performed well in optimizing a turboalternator design. It found more optimum solutions with better diversity in turbo-alternator design optimization.