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CP
2007
Springer
14 years 3 months ago
Model-Driven Visualizations of Constraint-Based Local Search
Visualization is often invaluable to understand the behavior of optimization algorithms, identify their bottlenecks or pathological behaviors, and suggest remedial techniques. Yet ...
Grégoire Dooms, Pascal Van Hentenryck, Laur...
GECCO
2007
Springer
147views Optimization» more  GECCO 2007»
14 years 3 months ago
Exact analysis of the sampling distribution for the canonical particle swarm optimiser and its convergence during stagnation
Several theoretical analyses of the dynamics of particle swarms have been offered in the literature over the last decade. Virtually all rely on substantial simplifications, incl...
Riccardo Poli, David S. Broomhead
GECCO
2007
Springer
140views Optimization» more  GECCO 2007»
14 years 3 months ago
Peer-to-peer evolutionary algorithms with adaptive autonomous selection
In this paper we describe and evaluate a fully distributed P2P evolutionary algorithm (EA) with adaptive autonomous selection. Autonomous selection means that decisions regarding ...
W. R. M. U. K. Wickramasinghe, Maarten van Steen, ...
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
14 years 3 months ago
Objective fitness correlation
This paper introduces the Objective Fitness Correlation, a new tool to analyze the evaluation accuracy of coevolutionary algorithms. Accurate evaluation is an essential ingredient...
Edwin D. de Jong
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 3 months ago
Discussion of parallel model of multi-objective genetic algorithms on heterogeneous computational resources
— In this paper, a parallel model of multi-objective genetic algorithm supposing a grid environment is discussed. In this proposed parallel model, we extended master-slave model ...
Tomoyuki Hiroyasu, Kengo Yoshii, Mitsunori Miki