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A simple genetic algorithm for a minimal overlapping scheduling problem

Olivera, Alfredo et al · SEDICI UNLP · 2004

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This article introduces a new version of the Multiple Machine Scheduling Problem: the Scheduling Problem with Time Windows and Minimal Overlap (SPTWMO). Given a set of nonpreemptive jobs with time windows and a number of identical machines, the problem consists on finding a starting time for each job which satisfies time window constraints while minimizing a measure of resource infeasibility (the Total Overlap). The problem is NP-Complete even in the case when only one machine is considered. We present a simple genetic algorithm applied to the SPTWMO, reporting efficient numerical results according to lower bounds obtained solving the preemptive version of the problem. Eje: V - Workshop de agentes y sistemas inteligentes Red de Universidades con Carreras en Informática (RedUNCI)

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APA 7

Olivera, A. E. A. (2004). A simple genetic algorithm for a minimal overlapping scheduling problem. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/22559

MLA

Olivera, Alfredo et al. A simple genetic algorithm for a minimal overlapping scheduling problem. SEDICI UNLP, 2004. http://sedici.unlp.edu.ar/handle/10915/22559.

Chicago

Olivera, Alfredo et al. 2004. A simple genetic algorithm for a minimal overlapping scheduling problem. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/22559.

Harvard

Olivera, A. E. A. 2004, A simple genetic algorithm for a minimal overlapping scheduling problem, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/22559 [Accessed 5 Aug. 2026].

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Title
A simple genetic algorithm for a minimal overlapping scheduling problem
Author / contributors
Olivera, Alfredo et al
Publisher
SEDICI UNLP
Publication year
2004
Language
English

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