Solving the Multiple Competitive Facilities Location and Design Problem on the Plane
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Summary
Through a comprehensive computational study it is shown that the evolutionary algorithms are the heuristics that provide the best solutions to a continuous location problem and can be easily adapted to handle other continuous location problems.
- Type
- dissertation
- Published
- 2009-03-01
- Cited by
- 49
- References
- 59
- Access
- Open access
- OpenAlex
- https://openalex.org/W19207087
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:9043516
Keywords
Molecule, Chemical physics, Computational chemistry, Chemistry, Physics
References
- Crowding and Preselection Revisited
- Evolutionary Computation 1
- Economics of location: A selective survey
- Using Interval Analysis for Solving Planar Single-Facility Location Problems: New Discarding Tests
- A Naturally Occurring Niche and Species Phenomenon: The Model and First Results
- TABU SEARCH ALGORITHMS FOR THE (R/XP)-MEDIANOID AND (R/P)-CENTROID PROBLEMS
- Facility location : applications and theory
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- Reliability and Performance of UEGO, a Clustering-based Global Optimizer
- A memetic co-clustering algorithm for gene expression profiles and biological annotation
- Facility Layout and Location: An Analytical Approach
- Parallel evolutionary algorithms based on shared memory programming approaches
- Solving large-scale maximum expected covering location problems by genetic algorithms: A comparative study
- Solving a Huff-like competitive location and design model for profit maximization in the plane
- On the use of genetic algorithms to solve location problems
- Another proof of the defect relation for moving targets
- GBSSS: The generalized big square small square method for planar single-facility location
- Comparison of genetic algorithms, random restart and two-opt switching for solving large location-allocation problems
- Optimization by Simulated Annealing
- Improvement and Comparison of Heuristics for Solving the Uncapacitated Multisource Weber Problem
Cited by
- Méthodes et techniques de modélisation, de simulation et d´optimisation appliquées à divers problèmes industriels
- A multi-layer line search method to improve the initialization of optimization algorithms
- Competitive location: a state-of-art review
- Multimodal Evolutionary Algorithm for Multidimensional Scaling with City-Block Distances
- Parallel algorithms for continuous competitive location problems
- Differential Evolution With Neighborhood Mutation for Multimodal Optimization
- Parallel evolutionary algorithms based on shared memory programming approaches
- Location and quality selection for new facilities on a network market
- Recent insights in Huff-like competitive facility location and design
- Inducing Niching Behavior in Differential Evolution Through Local Information Sharing
- Two- and three-dimensional modeling and optimization applied to the design of a fast hydrodynamic focusing microfluidic mixer for protein folding
- Ensemble and Arithmetic Recombination-Based Speciation Differential Evolution for Multimodal Optimization
- Strategic competitive location: improving existing and establishing new facilities
- Parallel algorithms for continuous multifacility competitive location problems
- Sensitivity analysis of a continuous multifacility competitive location and design problem
- Approximating the Pareto-front of a planar bi-objective competitive facility location and design problem
- Fixed or variable demand? Does it matter when locating a facility?
- Solving a Location Problem of a Stackelberg Firm Competing with Cournot-Nash Firms
- High performance computing applied to competitive facility location and design problems: single and multi-objective optimization algorithms
- p-facility Huff location problem on networks
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