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    STUDIA INFORMATICA - Issue no. 3 / 2012  

  Abstract:  Resource-constrained project scheduling is an NP-hard optimization problem focusing on the task of time-dependent resource allocation for a project. The current paper presents the application of a geometric collaborative evolutionary algorithm to this problem. Important features of the evolutionary model include population topology, asynchronous search and adaptive selection/recombination strategy. Each individual has an agent-inspired behaviour in the sense that communication with other individuals is possible and facilitates the selection of a mate for recombination. The evolving population has a geometrical structure and is furthermore organized in dynamic societies with different strategies for recombination. Numerical experiments are performed for several project instances and results emphasize a good performance of the geometric collaborative evolutionary model.

Key words and phrases: evolutionary computation, resource-constrained project scheduling, crossover, permutation based encoding, collaborative evolutionary algorithms.
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