An evolutionary multi-objective crowding algorithm (EMOCA): Benchmark test function results

Ramesh Rajagopalan, Chilukuri K. Mohan, Kishan G. Mehrotra, Pramod K. Varshney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

A new evohitionaiy multi-objective crowding algorithm (EMOCA) is evaluated using nine benchmark multi-objective optimization problems, and shown to produce non-dominated solutions with significant diversity, outperforming state- of-the-art multi-objective evolutionary algorithms viz.. Non-dominated Sorting Genetic Algorithm - II (NSGA-II). Strength Pareto Evolutionary algorithm II (SPEA-II) and Pareto Archived Evolution Strategy (PAES) on most of the test problems. The key new approach in EMOCA is to use a diversity-emphasizing probabilistic approach in determining whether an offspring individual is considered in the replacement selection phase, along with the use of a non-domination ranking scheme. This approach appears to provide a useful compromise between the two concerns of dominance and diversity in the evolving population.

Original languageEnglish (US)
Title of host publicationProceedings of the 2nd Indian International Conference on Artificial Intelligence, IICAI 2005
Pages1488-1506
Number of pages19
StatePublished - Dec 1 2005
Event2nd Indian International Conference on Artificial Intelligence, IICAI 2005 - Pune, India
Duration: Dec 20 2005Dec 22 2005

Publication series

NameProceedings of the 2nd Indian International Conference on Artificial Intelligence, IICAI 2005

Other

Other2nd Indian International Conference on Artificial Intelligence, IICAI 2005
CountryIndia
CityPune
Period12/20/0512/22/05

ASJC Scopus subject areas

  • Artificial Intelligence

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  • Cite this

    Rajagopalan, R., Mohan, C. K., Mehrotra, K. G., & Varshney, P. K. (2005). An evolutionary multi-objective crowding algorithm (EMOCA): Benchmark test function results. In Proceedings of the 2nd Indian International Conference on Artificial Intelligence, IICAI 2005 (pp. 1488-1506). (Proceedings of the 2nd Indian International Conference on Artificial Intelligence, IICAI 2005).