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Paper presents a hybrid Differential Evolution and Greedy Algorithm (DEGR) applied to solve Multi-Skill Resource-Constrained Project Scheduling Problem. The specialized indirect representation and transformation of solution space from discrete (typical for this problem), to continuous (typical for DE-approaches) are proposed and examined. Furthermore, Taguchi Design of Experiments method has been...
In this paper novel project scheduling difficulty estimations are proposed for Multi-Skill Resource-Constrained Project Scheduling Problem (MS-RCPSP). The main goal of introducing the complexity estimations is an attempt of estimation the project complexity before launching the optimization process. What is more, the dataset instance generator is also presented as a tool to create new instances for...
In this paper, hybrid ant colony optimization (HAntCO) approach in solving multi-skill resource-constrained project scheduling problem (MS-RCPSP) has been presented. We have proposed hybrid approach that links classical heuristic priority rules for project scheduling with ant colony optimization (ACO). Furthermore, a novel approach for updating pheromone value has been proposed based on both the best...
In this article some novel scheduling heuristics for Multi-Skill Resource-Constrained Project Scheduling Problem have been proposed and compared to state-of-the-art priority rules, based on task duration, resource salaries and precedence relations. New heuristics stand an aggregation of known methods, but are enhanced by skills domain. The goal of the paper is to investigate, whether evaluated methods...
In this article two approaches of Tabu Search in Multi-Skill Resource-Constrained Project Scheduling Problem (MS-RCPSP) have been proposed, based on different neighbourhood generation methods. The first approach assumes swapping resources assigned to pair of tasks, while the second one proposes assigning any resource that could perform given task. Both approaches need to respect the skill constraints...
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