Journal Article10.1016/J.COR.2008.11.010
Differential evolution for solving multi-mode resource-constrained project scheduling problems
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TL;DR: This paper considers the resource-constrained project scheduling problem with multiple execution modes for each activity and minimization of the makespan, and proposes a differential evolution (DE) algorithm to solve the problem within small time per activity.
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About: This article is published in Computers & Operations Research. The article was published on 01 Sep 2009. The article focuses on the topics: Job shop scheduling & Differential evolution.
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Citations
Differential Evolution: A Survey of the State-of-the-Art
TL;DR: A detailed review of the basic concepts of DE and a survey of its major variants, its application to multiobjective, constrained, large scale, and uncertain optimization problems, and the theoretical studies conducted on DE so far are presented.
Project scheduling with finite or infinite number of activity processing modes – A survey
TL;DR: This paper surveys single-project, single-objective, deterministic project scheduling problems in which activities can be processed using a finite or infinite number of modes concerning resources of various categories and types.
313
An experimental investigation of metaheuristics for the multi-mode resource-constrained project scheduling problem on new dataset instances
TL;DR: An overview is presented of the existing metaheuristic solution procedures to solve the multi-mode resource-constrained-project scheduling problem, in which multiple execution modes are available for each of the activities of the project.
180
Optimal recovery sequencing for enhanced resilience and service restoration in transportation networks
TL;DR: The intent of this paper is to formulate a bi-level optimisation model for network recovery and to demonstrate a solution approach for that Optimisation model.
131
An effective estimation of distribution algorithm for the multi-mode resource-constrained project scheduling problem
Ling Wang,Chen Fang +1 more
TL;DR: An estimation of distribution algorithm (EDA) is proposed to solve the multi-mode resource-constrained project scheduling problem (MRCPSP) and results demonstrate the effectiveness of the proposed EDA.
122
References
Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces
Rainer Storn,Kenneth Price +1 more
TL;DR: In this article, a new heuristic approach for minimizing possibly nonlinear and non-differentiable continuous space functions is presented, which requires few control variables, is robust, easy to use, and lends itself very well to parallel computation.
Lecture Notes in Artificial Intelligence
P. Brezillon,P. Bouquet +1 more
- 01 Jan 1999
TL;DR: The topics in LNAI include automated reasoning, automated programming, algorithms, knowledge representation, agent-based systems, intelligent systems, expert systems, machine learning, natural-language processing, machine vision, robotics, search systems, knowledge discovery, data mining, and related programming languages.
7.5K
Differential Evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces
Kenneth Price
- 01 Jan 2004
TL;DR: A new heuristic approach for minimizing possibly nonlinear and non differentiable continuous space functions is presented and it will be demonstrated that the new method converges faster and with more certainty than Adaptive Simulated Annealing as well as the Annealed Nelder&Mead approach.
4.3K
•Book
New Ideas In Optimization
David Corne,Marco Dorigo,Fred Glover,Dipankar Dasgupta,Pablo Moscato,Riccardo Poli,Kenneth V. Price +6 more
- 01 Oct 1999
TL;DR: The techniques treated in this text represent research as elucidated by the leaders in the field and are applied to real problems, such as hilllclimbing, simulated annealing, and tabu search.
2.2K