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GECCO
2004
Springer
101views Optimization» more  GECCO 2004»
15 years 4 months ago
A Novel Multi-objective Orthogonal Simulated Annealing Algorithm for Solving Multi-objective Optimization Problems with a Large
In this paper, a novel multi-objective orthogonal simulated annealing algorithm MOOSA using a generalized Pareto-based scale-independent fitness function and multi-objective intell...
Li-Sun Shu, Shinn-Jang Ho, Shinn-Ying Ho, Jian-Hun...
EOR
2006
91views more  EOR 2006»
14 years 10 months ago
Solving Irregular Strip Packing problems by hybridising simulated annealing and linear programming
In this paper a hybrid algorithm to solve Irregular Strip Packing problems is presented. The metaheuristic simulated annealing is used to guide the search over the solution space ...
A. Miguel Gomes, José F. Oliveira
IPPS
2007
IEEE
15 years 5 months ago
A Grid-enabled Branch and Bound Algorithm for Solving Challenging Combinatorial Optimization Problems
Solving optimally large instances of combinatorial optimization problems requires a huge amount of computational resources. In this paper, we propose an adaptation of the parallel...
Mohand-Said Mezmaz, Nouredine Melab, El-Ghazali Ta...
SAT
2005
Springer
133views Hardware» more  SAT 2005»
15 years 4 months ago
Solving Over-Constrained Problems with SAT Technology
Abstract. We present a new generic problem solving approach for overconstrained problems based on Max-SAT. We first define a clausal form formalism that deals with blocks of clau...
Josep Argelich, Felip Manyà
DIAGRAMS
2004
Springer
15 years 4 months ago
Predictors of Success in Diagrammatic Problem Solving
Abstract. We conducted an eye-tracking study of mechanical problem solving from cross-sectional diagrams of devices. Response time, accuracy and eye movement data were collected an...
Daesub Yoon, N. Hari Narayanan