Global optimization by artificial life: A new technique using genetic population evolution. (English) Zbl 0857.90120

Bicking, F.; Fonteix, C.; Corriou, J.-P.; Marc, I.

RAIRO, Rech. Opér. 28, No. 1, 23-36 (1994).

Summary: A new technique based on genetic algorithms principles is proposed for global optimization problems. This optimization technique uses concepts from population genetics such as population size, birth, death, mutation. Its main characteristic is to perform the search by working on real variables. Following the algorithm description, experiments and results on a set of functions are provided. The ease of implementation of this new method makes it particularly useful as a tool for nonlinear unconstrained and constrained optimization problems.

MSC:

90C30	Nonlinear programming
68T05	Learning and adaptive systems in artificial intelligence

Keywords:

stochastic method; probabilistic rules; population genetics; genetic algorithms; global optimization