Hybridizing a multi-objective simulated annealing algorithm with a multi-objective evolutionary algorithm to solve a multi-objective project scheduling problem

Author:

Yannibelli Virginia,Amandi Analía

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference29 articles.

1. An evolutionary squeaky wheel optimization approach to personnel scheduling;Aickelin;IEEE Transactions on Evolutionary Computation,2009

2. Relating member ability and personality to work-team processes and team effectiveness;Barrick;Journal of Applied Psychology,1998

3. Bellenguez, O. (2008). A reactive approach for the multi-skill project scheduling problem. In PATAT 2008 proceedings of the 7th international conference on the practice and theory of automated timetabling (pp.18–22) August, Montreal.

4. Lower bounds for the multi-skill project scheduling problem with hierarchical levels of skills;Bellenguez,2005

5. Scheduling subject to resource constraints: Classification and complexity;Blazewicz;Discrete Applied Mathematics,1983

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