An efficient genetic algorithm to maximize net present value of project payments under inflation and bonus-penalty policy in resource investment problem

DOI10.1016/j.advengsoft.2010.03.002zbMath1194.90057DBLPjournals/aes/ShahsavarNN10OpenAlexW2061771818WikidataQ56934748 ScholiaQ56934748MaRDI QIDQ994252

Moslem Shahsavar, Amir Abbas Najafi, Seyed Taghi Akhavan Niaki

Publication date: 17 September 2010

Published in: Advances in Engineering Software (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.advengsoft.2010.03.002

zbMATH Keywords

project schedulinginflationgenetic algorithmdiscounted cash flowsbonus-penalty structure

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59) Discrete location and assignment (90B80)

Related Items (3)

The multi-mode resource investment problem: a benchmark library and a computational study of lower and upper bounds ⋮ An updated survey of variants and extensions of the resource-constrained project scheduling problem ⋮ Multi-mode resource-constrained project scheduling problem with material ordering under bonus-penalty policies

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