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GECCO
2005
Springer
219views Optimization» more  GECCO 2005»
15 years 11 months ago
An evolutionary lagrangian method for the 0/1 multiple knapsack problem
We propose a new evolutionary approach to solve the 0/1 multiple knapsack problem. We approach the problem from a new viewpoint different from traditional methods. The most remar...
Yourim Yoon, Yong-Hyuk Kim, Byung Ro Moon
PPSN
2004
Springer
15 years 11 months ago
Phase Transition Properties of Clustered Travelling Salesman Problem Instances Generated with Evolutionary Computation
Abstract. This paper introduces a generator that creates problem instances for the Euclidean symmetric travelling salesman problem. To fit real world problems, we look at maps con...
Jano I. van Hemert, Neil Urquhart
PPSN
1998
Springer
15 years 10 months ago
A Decoder-Based Evolutionary Algorithm for Constrained Parameter Optimization Problems
Several methods have been proposed for handling nonlinear constraints by evolutionary algorithms for numerical optimization problems; a survey paper [7] provides an overview of var...
Slawomir Koziel, Zbigniew Michalewicz
CEC
2008
IEEE
16 years 14 days ago
A parallel surrogate-assisted multi-objective evolutionary algorithm for computationally expensive optimization problems
Abstract— This paper presents a new efficient multiobjective evolutionary algorithm for solving computationallyintensive optimization problems. To support a high degree of parall...
Anna Syberfeldt, Henrik Grimm, Amos Ng, Robert Ivo...
EVOW
2008
Springer
15 years 7 months ago
A Conflict Tabu Search Evolutionary Algorithm for Solving Constraint Satisfaction Problems
This paper introduces a hybrid Tabu Search - Evolutionary Algorithm for solving the binary constraint satisfaction problem, called CTLEA. A continuation of an earlier introduced al...
Bart G. W. Craenen, Ben Paechter