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1998
Springer

A Decoder-Based Evolutionary Algorithm for Constrained Parameter Optimization Problems

10 years 3 months ago
A Decoder-Based Evolutionary Algorithm for Constrained Parameter Optimization Problems
Several methods have been proposed for handling nonlinear constraints by evolutionary algorithms for numerical optimization problems; a survey paper [7] provides an overview of various techniques and some experimental results, as well as proposes a set of eleven test problems. Recently a new,decoder-based approach forsolving constrained numerical optimization problems was proposed [2,3]. The proposed method de nes a homomorphous mapping between n-dimensional cube and a feasible search space. In [3] we have demonstrated the power of this new approach on several test cases. However, it is possible to enhance the performance of the system even further by introducing additional concepts of (1) nonlinear mappings with an adaptive parameter, and (2) adaptive location of the reference point of the mapping.
Slawomir Koziel, Zbigniew Michalewicz
Added 06 Aug 2010
Updated 06 Aug 2010
Type Conference
Year 1998
Where PPSN
Authors Slawomir Koziel, Zbigniew Michalewicz
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