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CEC
2010
IEEE
13 years 6 months ago
A hybrid multi-objective extremal optimisation approach for multi-objective combinatorial optimisation problems
Extremal optimisation (EO) is a relatively recent nature-inspired heuristic whose search method is especially suitable to solve combinatorial optimisation problems. To date, most o...
Pedro Gómez-Meneses, Marcus Randall, Andrew...
AUSAI
2003
Springer
14 years 1 months ago
Dynamic Agent Ordering in Distributed Constraint Satisfaction Problems
The distributed constraint satisfaction problem (CSP) is a general formalisation used to represent problems in distributed multiagent systems. To deal with realistic problems, mult...
Lingzhong Zhou, John Thornton, Abdul Sattar
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
14 years 2 months ago
Hybrid multiobjective genetic algorithm with a new adaptive local search process
This paper is concerned with a specific brand of evolutionary algorithms: Memetic algorithms. A new local search technique with an adaptive neighborhood setting process is introdu...
Salem F. Adra, Ian Griffin, Peter J. Fleming
SAC
2004
ACM
14 years 2 months ago
An improved hybrid genetic algorithm for the generalized assignment problem
We consider the generalized assignment problem in which the objective is to find a minimum cost assignment of a set of jobs to a set of agents subject to resource constraints. Th...
Harald Feltl, Günther R. Raidl
AAAI
2007
13 years 11 months ago
Using Expectation Maximization to Find Likely Assignments for Solving CSP's
We present a new probabilistic framework for finding likely variable assignments in difficult constraint satisfaction problems. Finding such assignments is key to efficient sea...
Eric I. Hsu, Matthew Kitching, Fahiem Bacchus, She...