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GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
15 years 5 months ago
Exploiting gradient information in numerical multi--objective evolutionary optimization
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...
Peter A. N. Bosman, Edwin D. de Jong
AMAI
1999
Springer
14 years 11 months ago
Maintenance scheduling problems as benchmarks for constraint algorithms
The paper focuses on evaluating constraint satisfaction search algorithms on application based random problem instances. The application we use is a well-studied problem in the el...
Daniel Frost, Rina Dechter
CEC
2010
IEEE
15 years 28 days ago
Population-Based Guided Local Search: Some preliminary experimental results
Based on the Proximate Optimality Principle in metaheuristics, a Population Based Guided Local Search (PGLS) framework for dealing with difficult combinatorial optimization problem...
Nasser Tairan, Qingfu Zhang
IPPS
2006
IEEE
15 years 5 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...
WEA
2004
Springer
120views Algorithms» more  WEA 2004»
15 years 5 months ago
An Improved Time-Sensitive Metaheuristic Framework for Combinatorial Optimization
We introduce a metaheuristic framework for combinatorial optimization. Our framework is similar to others (e.g. [1]) in that it is modular enough that important components can be i...
Vinhthuy T. Phan, Steven Skiena