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ISCIS
2003
Springer
14 years 8 days ago
A New Continuous Action-Set Learning Automaton for Function Optimization
In this paper, we study an adaptive random search method based on continuous action-set learning automaton for solving stochastic optimization problems in which only the noisecorr...
Hamid Beigy, Mohammad Reza Meybodi
ATAL
2005
Springer
14 years 17 days ago
A decentralized bargaining protocol on dependent continuous multi-issue for approximate pareto optimal outcomes
Negotiation techniques have been demonstrated to be effective in solving complex multi-objective problems. When the optimization process operates on continuous variables, it can b...
Nicola Gatti, Francesco Amigoni
SIAMIS
2010
141views more  SIAMIS 2010»
13 years 1 months ago
Optimization by Stochastic Continuation
Simulated annealing (SA) and deterministic continuation are well-known generic approaches to global optimization. Deterministic continuation is computationally attractive but produ...
Marc C. Robini, Isabelle E. Magnin
IPPS
2006
IEEE
14 years 1 months ago
Ant stigmergy on the grid: optimizing the cooling process in continuous steel casting
The paper presents a new distributed metaheuristic algorithm in an optimal control problem related to the cooling process in the continuous casting of steel. The optimization task...
Peter Korosec, Jurij Silc, Bogdan Filipic, Erkki L...
MEMETIC
2010
311views more  MEMETIC 2010»
13 years 1 months ago
Iterated local search with Powell's method: a memetic algorithm for continuous global optimization
In combinatorial solution spaces Iterated Local Search (ILS) turns out to be exceptionally successful. The question arises: is ILS also capable of improving the optimization proces...
Oliver Kramer