A genetic algorithm for resource investment problem with discounted cash flows

DOI10.1016/j.amc.2006.05.118zbMath1112.90035OpenAlexW2071555327MaRDI QIDQ865553

Amir Abbas Najafi, Seyed Taghi A. Niaki

Publication date: 19 February 2007

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2006.05.118

zbMATH Keywords

project schedulinggenetic algorithmsnet present valueresource investment

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (8)

Statistical design of genetic algorithms for combinatorial optimization problems ⋮ The multi-mode resource investment problem: a benchmark library and a computational study of lower and upper bounds ⋮ Resource tardiness weighted cost minimization in project scheduling ⋮ A survey of variants and extensions of the resource-constrained project scheduling problem ⋮ An efficient genetic algorithm to maximize net present value of project payments under inflation and bonus-penalty policy in resource investment problem ⋮ A parameter-tuned genetic algorithm for the resource investment problem with discounted cash flows and generalized precedence relations ⋮ Optimization of a highway project planning using a modified genetic algorithm ⋮ A priority rule-based heuristic for resource investment project scheduling problem with discounted cash flows and tardiness penalties

Cites Work

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• Project Scheduling with Discounted Cash Flows and Progress Payments
• The resource renting problem subject to temporal constraints
• Four payment models for the multi-mode resource constrained project scheduling problem with discounted cash flows
• A review of the contribution of operational research to project management

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