Journal ArticleDOI
Hybrid genetic algorithm with fuzzy logic for resource-constrained project scheduling
TLDR
A hybrid genetic algorithm (hGA) with fuzzy logic controller (FLC) to solve the resource-constrained project scheduling problem (rcPSP) which is a well-known NP-hard problem is developed.About:
This article is published in Applied Soft Computing.The article was published on 2003-01-01. It has received 69 citations till now. The article focuses on the topics: Job shop scheduling & Genetic algorithm.read more
Citations
More filters
Journal ArticleDOI
A genetic algorithm using priority-based encoding with new operators for fixed charge transportation problems
TL;DR: Computational results show that the proposed pb-GA gives better results than the recently used spanning tree-based genetic algorithm (st-GA) both in terms of the solution quality and computation time, especially for medium- and large-sized problems.
Book ChapterDOI
Applications of Fuzzy Sets in Industrial Engineering: A Topical Classification
TL;DR: This chapter provides a survey of the applications of fuzzy set theory in industrial engineering when the dynamics of the decision environment limit the specification of model objectives, constraints and the precise measurement of model parameters.
Journal ArticleDOI
AI and OR in management of operations: history and trends
TL;DR: An extensive survey of applications of AI techniques for operations management, covering a total of over 1200 papers published from 1995 to 2004 is presented, using Elsevier's ScienceDirect database as a source.
Journal ArticleDOI
The relevance of outsourcing and leagile strategies in performance optimization of an integrated process planning and scheduling model
TL;DR: In this paper, the authors proposed an integrated process planning and scheduling model inheriting the salient features of outsourcing, and leagile principles to compete in the existing market scenario, where a scheduling problem has been considered and overall minimization of makespan has been aimed.
Journal ArticleDOI
Project scheduling with limited resources using a genetic algorithm
Jairo R. Montoya-Torres,Edgar Gutierrez-Franco,Edgar Gutierrez-Franco,Carolina Pirachicán-Mayorga +3 more
TL;DR: This paper proposes an alternative representation of the chromosomes using a multi-array object-oriented model in order to take advantage of programming features in most common languages for the design of decision support systems.
References
More filters
MonographDOI
Genetic algorithms and engineering optimization
Mitsuo Gen,Runwei Cheng +1 more
TL;DR: This paper presents a meta-modelling framework that automates the very labor-intensive and therefore time-heavy and therefore expensive and labor-heavy process of designing and solving optimization problems.
the utility of using the genetic algorithm approach on the problem of Davis, L. (1991), Handbook of Genetic Algorithms. Van Nostrand Reinhold, New York.
TL;DR: The complex effect of genetic algorithm's (GA) operators and parameters to Davis (7) proposed a method that would make the operators evolve or adapt to the problem as Handbook of Genetic Algorithms.
Journal ArticleDOI
Resource-constrained project scheduling: Notation, classification, models, and methods
TL;DR: A classification scheme is provided, i.e. a description of the resource environment, the activity characteristics, and the objective function, respectively, which is compatible with machine scheduling and which allows to classify the most important models dealt with so far, and a unifying notation is proposed.
Journal ArticleDOI
Serial and parallel resource-constrained project scheduling methods revisited: Theory and computation
TL;DR: It is shown that the performance-ranking of priority rules does not differ for single-pass scheduling and sampling, that sampling improves the performance of single- pass scheduling significantly, and that the parallel method cannot be generally considered as superior.
Related Papers (5)
A new efficient simulated annealing algorithm for the resource-constrained project scheduling problem and its multiple mode version
K. Bouleimen,H. Lecocq +1 more