Hybrid Genetic Algorithm with Simulated Annealing for Resource-Constrained Project Scheduling-Reference-Cited by-同舟云学术

Hybrid Genetic Algorithm with Simulated Annealing for Resource-Constrained Project Scheduling

Published:2015-09 Issue:5 Volume:31 Page:04014082
ISSN:0742-597X
Container-title:Journal of Management in Engineering
language:en
Short-container-title:J. Manage. Eng.

Author:

Bettemir Önder Halis¹,Sonmez Rifat²

Affiliation:

1. Assistant Professor, Dept. of Civil Engineering, Inönü Univ., Merkez Kampüsü, Malatya 44280, Turkey.

2. Associate Professor, Dept. of Civil Engineering, Middle East Technical Univ., Ankara 06531, Turkey (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management Science and Operations Research,Strategy and Management,General Engineering,Industrial relations

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29ME.1943-5479.0000323

Reference45 articles.

1. Artificial bee colony for resource constrained project scheduling problem;Akbari R.;Int. J. Ind. Eng. Comput.,2011

2. Bartusch M. (1983). “Optimization of network diagram relationships with scarce resources. ” Ph.D. thesis Technical Univ. of Aachen Aachen Germany.

3. Bettemir Ö. H. (2009). “Optimization of time-cost-resource trade-off problems in project scheduling using meta-heuristic algorithms.” Ph.D. thesis Middle East Technical Univ. Ankara Turkey.

4. Scheduling subject to resource constraints: classification and complexity

5. Hybrid Metaheuristics: An Introduction

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