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Erschienen in:
1996 | ReviewPaper | Buchkapitel
Democratic optimization for discrete and continuous systems
verfasst von : Frank-Michael Dittes
Erschienen in: Parallel Problem Solving from Nature — PPSN IV
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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A novel strategy for finding optimal solutions to complex problems with many competing requirements is proposed. It consists in a simultaneous optimization of the energy, cost or fitness function of the system itself, and of sub-systems of all sizes with an appropriate weight function. For various travelling salesman problems and spin glasses as well as for an example of a continuous-valued system (the optical multilayer problem) the corresponding Monte Carlo algorithm is shown to yield results superior to those obtained by previous optimization techniques.