Multiobjective Scheduling by Genetic Algorithms

Authors:
Tapan P. Bagchi
Affiliations:
-
Venue:
Multiobjective Scheduling by Genetic Algorithms
Year:
1999

Citing 0
Cited 30

A Short Tutorial on Evolutionary Multiobjective Optimization

EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization
Multi-objective Flow-Shop: Preliminary Results

EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization
Improved genetic algorithm for the permutation flowshop scheduling problem

Computers and Operations Research
Evolutionary Scheduling: A Review

Genetic Programming and Evolvable Machines
Rapid Modeling and Discovery of Priority Dispatching Rules: An Autonomous Learning Approach

Journal of Scheduling
A fuzzy genetic algorithm for real-world job shop scheduling

IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
A Hybrid Multiobjective Evolutionary Algorithm for Solving Vehicle Routing Problem with Time Windows

Computational Optimization and Applications
Genetic algorithms in agent-based manufacturing scheduling systems

Integrated Computer-Aided Engineering
Decision support tool for multi-objective job shop scheduling problems with linguistically quantified decision functions

Decision Support Systems
An overview of distributed process planning and its integration with scheduling

International Journal of Computer Applications in Technology
An effective hybrid DE-based algorithm for multi-objective flow shop scheduling with limited buffers

Computers and Operations Research
A new multiobjective genetic algorithm with heterogeneous population for solving flowshop scheduling problems

International Journal of Computer Integrated Manufacturing - Global Competitive Manufacturing
A hybrid meta heuristic algorithm for bi-objective minimum cost flow (BMCF) problem

Advances in Engineering Software
A self-guided genetic algorithm for flowshop scheduling problems

CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Experimental genetic operators analysis for the multi-objective permutation flowshop

EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Multiobjective permutation flow shop scheduling using a memetic algorithm with an NEH-based local search

ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Simulation optimization using particle swarm optimization algorithm with application to assembly line design

Applied Soft Computing
A hybrid method for flowshops scheduling with condition-based maintenance constraint and machines breakdown

Expert Systems with Applications: An International Journal
Heuristics for minimizing regular performance measures in unrelated parallel machine scheduling problems

Computers and Operations Research
Optimization of an established multi-objective delivering problem by an improved hybrid algorithm

Expert Systems with Applications: An International Journal
Modeling and evolutionary optimization on multilevel production scheduling: a case study

Applied Computational Intelligence and Soft Computing - Special issue on theory and applications of evolutionary computation
Decision support for multi-objective flow shop scheduling by the Pareto Iterated Local Search methodology

Computers and Industrial Engineering
Localized genetic algorithm for vehicle routing problem with time windows

Applied Soft Computing
Multi-item fuzzy inventory model with three constraints: genetic algorithm approach

AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Genetic algorithm for inventory lot-sizing with supplier selection under fuzzy demand and costs

IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Multi-objective go with the winners algorithm: a preliminary study

EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
Solving the aircraft engine maintenance scheduling problem using a multi-objective evolutionary algorithm

EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
Multi-objective optimization with fuzzy measures and its application to flow-shop scheduling

Engineering Applications of Artificial Intelligence
A hybrid Differential Evolution-Tabu Search algorithm for the solution of Job-Shop Scheduling Problems

Applied Soft Computing
Minimizing makespan and total flowtime in permutation flowshops by a bi-objective multi-start simulated-annealing algorithm

Computers and Operations Research

Quantified Score

Hi-index	0.00

Visualization

Abstract

From the Publisher:Multiobjective Scheduling By Genetic Algorithms describes methods for developing multiobjective solutions to common production scheduling situations modeling in the literature as flowshops, job shops and open shops. The methodology is metaheuristic, one inspired by how nature has evolved a multitude of coexisting species of living beings on earth.. "Thus this book is intended for students of industrial engineering, operations research, operations management and computer science, as well as practitioners. It may also assist in the development of efficient shop management software tools for schedulers and production planners who face multiple planning and operating objectives as a matter of course.