By Hisashi Handa, Hisao Ishibuchi, Yew-Soon Ong, Kay-Chen Tan
This booklet features a selection of the papers permitted within the 18th Asia Pacific Symposium on clever and Evolutionary platforms (IES 2014), which used to be held in Singapore from 10-12th November 2014. The papers contained during this publication reveal striking clever structures with reliable analytical and/or empirical results.
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Extra resources for Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems - Volume 2
Sample text
Genetic algorithms, noise, and the sizing of populations. Complex Systems 6, 333–362 (1991) 10. : Self-adapting control parameters in differential evolution: A comparative study on numerical benchmark problems. IEEE Transactions on Evolutionary Computation 10(6), 646–657 (2006) 11. : Performance comparison of self-adaptive and adaptive differential evolution algorithms. Soft Computing 11(7), 617–629 (2007) 12. : Population reduction differential evolution with multiple mutation strategies in real world industry challenges.
In Section 2 we briefly describe a general MOP. In Section 3 we provide the particular class of MOPs which are of interest to the present study with a concrete mathematical description. Subsequently, the improved MOEA developed to handle the problem is described in Section 4. Section 5 contains a description of the multi-objective VRPTW and how it can be modelled as the aforementioned MOP. Moreover, the section presents some results from computational experiments carried out on Solomon’s instances which incorporate time window constraints [6].
5) can be geometrically interpreted as finding the point on the Pareto front which lies nearest to a ray extending from the reference point with slope wI /(1 - wI). It must be noted that any preferred algorithm, EA or otherwise, can be used to solve Eq. (5). The resultant is then returned to the higher level along with (f1(xI, ), f2(xI, )), which constitutes the mapping of I into objective space. 2 are repeated on a finite sized population for a large number of generations until some stopping criterion is met.