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Hybridizing a multi-objective simulated annealing algorithm with a multi-objective evolutionary algorithm to solve a multi-objective project scheduling problem
(Elsevier, 2012-11)
In this paper, a multi-objective project scheduling problem is addressed. This problem considers two conflicting, priority optimization objectives for project managers. One of these objectives is to minimize the project ...
Choice of a PISA Selector in a Hybrid Algorithmic Structure for the FJSSP
(Growing Science, 2015-06)
This paper analyzes the choice of a PISA selector for a Hybrid Algorithm integrating it as a Multi- Objective Evolutionary Algorithm (MOEA) with a path-dependent search algorithm. The interaction between these components ...
A Diversity-Adaptive Hybrid Evolutionary Algorithm to Solve a Project Scheduling Problem
(Springer, 2014-09)
In this paper, we address a project scheduling problem. This problem considers a priority optimization objective for project managers. This objective implies assigning the most effective set of human resources to each ...
Choice of a PISA selector in a hybrid algorithmic structure for the FJSSP
(Growing Science, 2015-04)
This paper analyzes the choice of a PISA selector for a Hybrid Algorithm integrating it as a MultiObjective Evolutionary Algorithm (MOEA) with a path-dependent search algorithm. The interaction between these components ...
Hybrid Evolutionary Algorithm with Adaptive Crossover, Mutation and Simulated Annealing Processes to Project Scheduling
(Springer, 2015-09)
In this paper, we address a project scheduling problem that considers a priority optimization objective for project managers. This objective involves assigning the most effective set of human resources to each project ...
A novel hybrid multi-objective metamodel-based evolutionary optimization algorithm
(Elsevier, 2019-01)
Optimization via Simulation (OvS) is an useful optimization tool to find a solution to an optimization problem that is difficult to model analytically. OvS consists in evaluating potential solutions through simulation ...
Scheduling Projects by a Hybrid Evolutionary Algorithm with Self-Adaptive Processes
(Springer, 2015-11)
In this paper, we present a hybrid evolutionary algorithm with self-adaptive processes to solve a known project scheduling problem. This problem takes into consideration an optimization objective priority for project ...
General subpopulation framework and taming the conflict inside populations
(MIT PressCambridge, Mass, 2015)
Structured evolutionary algorithms have been investigated for some time. However,
they have been under explored especially in the field of multi-objective optimization.
Despite good results, the use of complex dynamics ...