Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Computers and Operations Research - Special issue: artificial intelligence, evolutionary programming and operations research
GAS, a concept on modeling species in genetic algorithms
Artificial Intelligence
Economics of location:: a selective survey
Computers and Operations Research - location science
The ant colony optimization meta-heuristic
New ideas in optimization
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Tabu Search
Using Interval Analysis for Solving Planar Single-Facility Location Problems: New Discarding Tests
Journal of Global Optimization
Reliability and Performance of UEGO, a Clustering-based Global Optimizer
Journal of Global Optimization
Computers and Operations Research - Location analysis
On the use of genetic algorithms to solve location problems
Computers and Operations Research - Location analysis
Lamarckian Evolution, The Baldwin Effect and Function Optimization
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 sequential niche technique for multimodal function optimization
Evolutionary Computation
Computers and Operations Research
Image segmentation using evolutionary computation
IEEE Transactions on Evolutionary Computation
Solving equations by hybrid evolutionary computation techniques
IEEE Transactions on Evolutionary Computation
Parallelism and evolutionary algorithms
IEEE Transactions on Evolutionary Computation
An evolutionary clustering algorithm for gene expression microarray data analysis
IEEE Transactions on Evolutionary Computation
Parallel algorithms for continuous competitive location problems
Optimization Methods & Software - THE JOINT EUROPT-OMS CONFERENCE ON OPTIMIZATION, 4-7 JULY, 2007, PRAGUE, CZECH REPUBLIC, PART I
Universal Global Optimization Algorithm on Shared Memory Multiprocessors
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Parallel algorithms for continuous multifacility competitive location problems
Journal of Global Optimization
Parallel evolutionary algorithms based on shared memory programming approaches
The Journal of Supercomputing
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A continuous location problem in which a firm wants to set up two or more new facilities in a competitive environment is considered. Other facilities offering the same product or service already exist in the area. Both the locations and the qualities of the new facilities are to be found so as to maximize the profit obtained by the firm. This is a global optimization problem, with many local optima. In this paper we analyze several approaches to solve it, namely, three multistart local search heuristics, a multistart simulated annealing algorithm, and two variants of an evolutionary algorithm. Through a comprehensive computational study it is shown that the evolutionary algorithms are the heuristics that provide the best solutions. Furthermore, using a set of problems for which the optimal solutions are known, only the evolutionary algorithms were able to find the optimal solutions for all the instances. The evolutionary strategies presented in this paper can be easily adapted to handle other continuous location problems.