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This paper considers two problem classes that are important to researchers as well as practitioners, namely packing and project scheduling problems. First, the two problem categories are described. This includes a classification of packing problems as well as of project scheduling concepts....
Persistent link: https://www.econbiz.de/10011734909
This paper considers two problem classes that are important to researchers as well as practitioners, namely packing and project scheduling problems. First, the two problem categories are described. This includes a classification of packing problems as well as of project scheduling concepts....
Persistent link: https://www.econbiz.de/10011558750
The resource-constrained project scheduling problem (RCPSP) consists of activities that must be scheduled subject to precedence and resource constraints such that the makespan is minimized. It has become a well-known standard problem in the context of project scheduling which has attracted...
Persistent link: https://www.econbiz.de/10008992371
This paper discusses an extension of the classical resource-constrained project scheduling problem (RCPSP) in which the resource availability as well as the resource request of the activities may change from period to period. While the applicability of this extension should be obvious, we...
Persistent link: https://www.econbiz.de/10008937594
This paper introduces a new general framework for genetic algorithms to solve a broad range of optimization problems. When designing a genetic algorithm, there may be several alternatives for a component such as crossover, mutation or decoding procedure, and it may be difficult to determine the...
Persistent link: https://www.econbiz.de/10011734932
This paper is devoted to a comparison of all available branch-and-bound algorithms that can be applied to solve resource-constrained project scheduling problems with multiple execution modes for each activity. After summarizing the two exact algorithms that have been suggested in the literature,...
Persistent link: https://www.econbiz.de/10011736626
In this paper we consider the resource-constrained project scheduling problem with multiple execution modes for each activity and makespan minimization as objective. We present a new genetic algorithm approach to solve this problem. The genetic encoding is based on a precedence feasible sequence...
Persistent link: https://www.econbiz.de/10011736751
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