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EVOW
2004
Springer

Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept

10 years 8 months ago
Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept
Abstract. Dynamic optimization using evolutionary algorithms is receiving increasing interests. However, typical test functions for comparing the performance of various dynamic optimization algorithms still lack. This paper suggests a method for constructing dynamic optimization test problems using multi-objective optimization (MOO) concepts. By aggregating different objectives of an MOO problem and changing the weights dynamically, we are able to construct dynamic single objective and multi-objective test problems systematically. The proposed method is computationally efficient, easily tunable and functionally powerful. This is mainly due to the fact that the proposed method associates dynamic optimization with multi-objective optimization and thus the rich MOO test problems can easily be adapted to dynamic optimization test functions.
Yaochu Jin, Bernhard Sendhoff
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where EVOW
Authors Yaochu Jin, Bernhard Sendhoff
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