Evolutionary algorithms for multi-objective stochastic resource availability cost problem

• Published in: Opsearch Vol. 57; no. 3; pp. 935 - 985
• Main Authors: Arjmand, Masoud, Najafi, Amir Abbas, Ebrahimzadeh, Majid
• Format: Journal Article
• Language: English
• Published: New Delhi Springer India 01.09.2020; Springer Nature B.V
• Subjects: Availability; Business and Management; Computer simulation; Crossovers; Evolutionary algorithms; Genetic algorithms; Management; Mathematics; Monte Carlo simulation; Multiple objective analysis; Operations research; Operations Research/Decision Theory; Operators; Parameters; Particle swarm optimization; PERT; Sorting algorithms; Taguchi methods; Theoretical Article; Scheduling; TOPSIS approach; Multi-objective evolutionary algorithms; Monte-Carlo simulation; Resource availability cost problem
• ISSN: 0030-3887; 0975-0320
• DOI: 10.1007/s12597-020-00447-8

This paper investigates the resource availability cost problem in a PERT-type network, where both activities duration and resource requirement are considered as stochastic parameters. The problem has two objective functions in which the first one, namely the project’s makespan, is to minimize the pr...