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GECCO
2003
Springer

Exploring a Two-Population Genetic Algorithm

13 years 8 months ago
Exploring a Two-Population Genetic Algorithm
In a two-market genetic algorithm applied to a constrained optimization problem, two ‘markets’ are maintained. One market establishes fitness in terms of the objective function only; the other market measures fitness in terms of the problem constraints only. Previous work on knapsack problems has shown promise for the two-market approach. In this paper we: (1) extend the investigation of two-market GAs to nonlinear optimization, (2) introduce a new, two-population variant on the two-market idea, and (3) report on experiments with the two-population, two-market GA that help explain how and why it works.
Steven Orla Kimbrough, Ming Lu, David Harlan Wood,
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where GECCO
Authors Steven Orla Kimbrough, Ming Lu, David Harlan Wood, Dong-Jun Wu
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