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» On the Optimality of Spiral Search
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104
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GECCO
2008
Springer
142views Optimization» more  GECCO 2008»
15 years 2 months ago
Complexity of Max-SAT using stochastic algorithms
Hill-climbing has been shown to be more effective than exhaustive search in solving satisfiability problems.Also, it has been used either by itself or in combination with other ...
Mohamed Qasem, Adam Prügel-Bennett
135
Voted
GECCO
2008
Springer
140views Optimization» more  GECCO 2008»
15 years 2 months ago
A bivariate probabilistic model-building genetic algorithm for graph bipartitioning
We investigate a bi-variate probabilistic model-building GA for the graph bipartitioning problem. The graph bipartitioning problem is a grouping problem that requires some modifi...
Dirk Thierens
EOR
2010
116views more  EOR 2010»
15 years 1 months ago
Speeding up continuous GRASP
Continuous GRASP (C-GRASP) is a stochastic local search metaheuristic for finding cost-efficient solutions to continuous global optimization problems subject to box constraints (Hi...
Michael J. Hirsch, Panos M. Pardalos, Mauricio G. ...
TELSYS
2011
207views Education» more  TELSYS 2011»
14 years 8 months ago
GRASP: basic components and enhancements
GRASP (Greedy Randomized Adaptive Search Procedures) is a multistart metaheuristic for producing good-quality solutions of combinatorial optimization problems. Each GRASP iteration...
Paola Festa, Mauricio G. C. Resende
GECCO
2006
Springer
134views Optimization» more  GECCO 2006»
15 years 5 months ago
PSO and multi-funnel landscapes: how cooperation might limit exploration
Particle Swarm Optimization (PSO) is a population-based optimization method in which search points employ a cooperative strategy to move toward one another. In this paper we show ...
Andrew M. Sutton, Darrell Whitley, Monte Lunacek, ...