Genetic algorithms with sharing for multimodal function optimization
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
A genetic algorithm approach to the machine-component grouping problem with multiple objectives
Computers and Industrial Engineering
Hidden order: how adaptation builds complexity
Hidden order: how adaptation builds complexity
Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Evolutionary algorithms for constrained engineering problems
Computers and Industrial Engineering
Integration of evolutionary programming and simulation to optimize a pull production system
CIE '96 Proceedings of the 19th international conference on Computers and industrial engineering
An adaptive memory heuristic for a class of vehicle routing problems with minmax objective
Computers and Operations Research
Machining condition optimization by genetic algorithms and simulated annealing
Computers and Operations Research
Loop layout design problem in flexible manufacturing systems using genetic algorithms
Computers and Industrial Engineering - Cellular manufacturing systems: design, analysis and implementation
HOPE: a genetic algorithm for the unequal area facility layout problem
Computers and Operations Research
Facilities layout design by genetic algorithms
ICC&IE Selected papers from the 22nd ICC&IE conference on Computers & industrial engineering
Outline for a Logical Theory of Adaptive Systems
Journal of the ACM (JACM)
Computers and Industrial Engineering - Special issue on computational intelligence for industrial engineering
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Numerical Optimization of Computer Models
Numerical Optimization of Computer Models
A Taxonomy of Evolutionary Algorithms in Combinatorial Optimization
Journal of Heuristics
An Overview of Evolutionary Computation
ECML '93 Proceedings of the European Conference on Machine Learning
Some Guidelines for Genetic Algorithms with Penalty Functions
Proceedings of the 3rd International Conference on Genetic Algorithms
Towards the Genetic Synthesisof Neural Networks
Proceedings of the 3rd International Conference on Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
A Study of Genetic Algorithm Hybrids for Facility Layout Problems
Proceedings of the 6th International Conference on Genetic Algorithms
Co-evolutionary Constraint Satisfaction
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
A Template for Scatter Search and Path Relinking
AE '97 Selected Papers from the Third European Conference on Artificial Evolution
A Multi-objective Approach to Constrained Optimisation of Gas Supply Networks: the COMOGA Method
Selected Papers from AISB Workshop on Evolutionary Computing
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
An overview of evolutionary algorithms in multiobjective optimization
Evolutionary Computation
Multi-objective genetic algorithms: Problem difficulties and construction of test problems
Evolutionary Computation
Solving facility layout problems using genetic programming
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Evolutionary computation: comments on the history and current state
IEEE Transactions on Evolutionary Computation
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Distributed evolutionary algorithms for simulation optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Integer programming models for logical layout design of modular machining lines
Computers and Industrial Engineering
A constraint based evolutionary decision support system for product design
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Application of genetic programming for modelling of material characteristics
Expert Systems with Applications: An International Journal
Multi-product sequencing and lot-sizing under uncertainties: A memetic algorithm
Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence
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Evolutionary computation has shown an interesting potential in the engineering fields. The optimization strategies used, based on a population of solutions and often inspired from nature, have led an increasing number of researchers to publish articles that address several types of problems encountered in the area of manufacturing systems. In this article, focus is brought on problems related to the design and organization of manufacturing systems. A survey has been conducted from a large number of literature references. From these references, we have identified the following types of problems as most addressed: cellular organization, facility layout, and optimization of the workshop configuration, assembly systems (including assembly line balancing). After a first part recalling the main characteristics of evolutionary algorithms and their potential to handle features frequently encountered in manufacturing problems (such as multiple criteria and constraints), each type of problem identified is studied. In particular, we summarize the way researchers have suggested to encode solutions and the main characteristics of the algorithms used. Several opened research directions in the areas investigated have been identified and are suggested.