Permutation-Based Elitist Genetic Algorithm for Optimization of Large-Sized Resource-Constrained Project Scheduling-Reference-Cited by-同舟云学术

Permutation-Based Elitist Genetic Algorithm for Optimization of Large-Sized Resource-Constrained Project Scheduling

Published:2008-11 Issue:11 Volume:134 Page:904-913
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Kim Jin-Lee¹²,Ellis Ralph D.¹²

Affiliation:

1. Assistant Professor, Dept. of Engineering Technology, Missouri Western State Univ., 108 Wilson Hall, 4525 Downs Dr., St. Joseph, MO 64507 (corresponding author).

2. Associate Professor, Dept. of Civil and Coastal Engineering, Univ. of Florida, 365 Weil Hall, Gainesville, FL 32611.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-9364%282008%29134%3A11%28904%29

Reference27 articles.

1. A Memory-Efficient Elitist Genetic Algorithm

2. A branch and bound algorithm for the resource-constrained project scheduling problem

3. Construction Resource Scheduling with Genetic Algorithms

4. New Benchmark Results for the Resource-Constrained Project Scheduling Problem

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