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101
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CP
2006
Springer
15 years 4 months ago
: A Bottom-Up Approach for Solving Quantified CSPs
Abstract. Thanks to its extended expressiveness, the quantified constraint satisfaction problem (QCSP) can be used to model problems that are difficult to express in the standard C...
Guillaume Verger, Christian Bessière
98
Voted
CEC
2007
IEEE
15 years 7 months ago
Solving multimodal problems via multiobjective techniques with Application to phase equilibrium detection
Abstract— For solving multimodal problems by means of evolutionary algorithms, one often resorts to multistarts or niching methods. The latter approach the question: ‘What is e...
Mike Preuss, Günter Rudolph, Feelly Tumakaka
97
Voted
WSC
2004
15 years 2 months ago
A Meta-Heuristic Based on Simulated Annealing for Solving Multiple-Objective Problems in Simulation Optimization
This paper presents a new meta heuristic algorithm based on the search method called simulated annealing, and its application to solving multi objective simulation optimization pr...
Eduardo Alberto Avello, Felipe F. Baesler, Reinald...
117
Voted
CP
2003
Springer
15 years 6 months ago
Using Constraint Programming to Solve the Maximum Clique Problem
This paper aims to show that Constraint Programming can be an efficient technique to solve a well-known combinatorial optimization problem: the search for a maximum clique in a gra...
Jean-Charles Régin
INFOVIS
2000
IEEE
15 years 5 months ago
Interactive Problem Solving via Algorithm Visualization
COMIND is a tool for conceptual design of industrial products. It helps designers define and evaluate the initial design space by using search algorithms to generate sets of feasi...
Pearl Pu, Denis Lalanne