This paper surveys single-project, single-objective, deterministic project scheduling problems in which activities can be processed using a finite or infinite (and uncountable) …
Network models are critical tools in business, management, science and industry. Network Models and Optimization: Multiobjective Genetic Algorithm Approach presents an insightful …
Everyday people need to make decisions, and the decision makers usually face multiple, conflicting objectives and uncertain environments. The research about uncertain multi …
A Naber, R Kolisch - European Journal of Operational Research, 2014 - Elsevier
This paper addresses the resource-constrained project scheduling problem with flexible resource profiles (FRCPSP). Such a problem often arises in many real-world applications, in …
KW Kim, M Gen, G Yamazaki - Applied soft computing, 2003 - Elsevier
In this paper, we develop a hybrid genetic algorithm (hGA) with fuzzy logic controller (FLC) to solve the resource-constrained project scheduling problem (rcPSP) which is a well-known …
A Skakovski, P Jędrzejowicz - Expert Systems with Applications, 2019 - Elsevier
Computational intelligence methods can provide high-quality solutions to a variety of complex optimization problems where exact analytical solutions are impossible to obtain …
Z Zhang, X Zhong - Journal of Industrial and Production …, 2018 - Taylor & Francis
This paper focuses on the robust resource-constrained project scheduling problem (RCPSP) with discrete time/resource trade-offs, in which activity duration and resource are uncertain …
This paper deals with the resource-constrained project scheduling problems (RCPSP), where the activities of a project have to be scheduled with the objective of minimizing the …