An Improved Genetic Algorithm for Resource Constrained Project Scheduling Problem
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This paper presents a biased random-keys genetic algorithm for the Resource Constrained Project Scheduling Problem. The chromosome representation of the problem is based on random keys. Active schedules are constructed using a priority-rule heuristic in which the priorities of th
Project scheduling with limited resources is a challenging management problem that is of immense importance to both practitioners and researchers. This problem is known to be NP-hard even under the simplifying assumptions of single renewable resource constraint, its constant avai
This paper deals with the resource-constrained project scheduling problem with exible work pro les. In this problem, a project contains activities interrelated by nish-start-type precedence constraints with a time lag of zero. In many real-life projects, however, it often occurs
This paper proposes a Genetic Algorithm for the Resource Constrained Project Scheduling Problem (RCPSP). Resources are renewable and there is a unique way to perform the activities. This work employs Genetics Algorithms to schedule project activities to minimize makespan subject
This paper proposes a Hybrid Genetic Algorithm (HGA) for the Resource Constrained Project Scheduling Problem (RCPSP). Resources are renewable and there is a unique way to perform the activities. This work employs Genetics Algorithms (GA) and Hybrid Genetic Algorithms to schedule