Search results for "Multi-swarm optimization"

showing 4 items of 14 documents

Applying fuzzy Particle Swarm Optimization to Multi-unit Double Auctions

2010

Abstract In the context of Quadratic Programming Problems, we use a fuzzy Particle Swarm Optimization (PSO) algorithm to analyze a Multi-unit Double Auction (MDA) market. We give also a Linear Programming (LP) based upper bound to help the decision maker in dealing with constraints in the mathematical model. In the computational study, we evaluate our algorithm and show that it is a feasible approach for processing bids and calculating assignments.

Mathematical optimizationParticle Swarm Optimization fuzzy numbers mathematical programming quadratic assignment problemInformation Systems and ManagementLinear programmingQuadratic assignment problemStrategy and ManagementMechanical EngineeringParticle swarm optimizationManagement Science and Operations ResearchSettore MAT/05 - Analisi MatematicaFuzzy numberQuadratic programmingMulti-swarm optimizationSettore MAT/09 - Ricerca OperativaEngineering (miscellaneous)MetaheuristicActive set methodMathematics
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Scatter Search and Path Relinking

2011

Scatter search (SS) and path relinking (PR) are evolutionary methods that have been successfully applied to a wide range of hard optimization problems. The fundamental concepts and principles of the methods were first proposed in the 1970s and 1980s, and were based on formulations, dating back to the 1960s, for combining decision rules and problem constraints. The methods use strategies for search diversification and intensification that have proved effective in a variety of optimization problems and that have sometimes been embedded in other evolutionary methods to yield improved performance. This paper examines the scatter search and path relinking methodologies from both conceptual and p…

Mathematical optimizationRange (mathematics)Optimization problemComputational Theory and MathematicsArtificial IntelligencePath (graph theory)Combinatorial optimizationParticle swarm optimizationDecision ruleMulti-swarm optimizationMetaheuristicComputer Science ApplicationsMathematicsInternational Journal of Swarm Intelligence Research
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A multi-local optimization algorithm

1998

The development of efficient algorithms that provide all the local minima of a function is crucial to solve certain subproblems in many optimization methods. A “multi-local” optimization procedure using inexact line searches is presented, and numerical experiments are also reported. An application of the method to a semi-infinite programming procedure is included.

Statistics and ProbabilityContinuous optimizationMathematical optimizationInformation Systems and ManagementMeta-optimizationManagement Science and Operations ResearchSemi-infinite programmingMaxima and minimaVector optimizationModeling and SimulationDiscrete Mathematics and CombinatoricsRandom optimizationMulti-swarm optimizationAlgorithmMetaheuristicMathematicsTop
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Influence of the evolutionary optimization parameters on the optimal topology

2016

Topological optimization can be considered as one of the most general types of structural optimization. Between all known topological optimization techniques, the Evolutionary Structural Optimization represents one of the most efficient and easy to implement approaches. Evolutionary topological optimization is based on a heuristic general principle which states that, by gradually removing portions of inefficient material from an assigned domain, the resulting structure will evolve towards an optimal configuration. Usually, the initial continuum domain is divided into finite elements that may or may not be removed according to the chosen efficiency criteria and other parameters like the spee…

Topology optimization Evolutionary optimization rejection ratio FEM efficiency criteriaMathematical optimizationFinal topologyComputer scienceContinuum (topology)Heuristic (computer science)Topology optimizationConvergence (routing)Multi-swarm optimizationTopologyMetaheuristicTopology (chemistry)
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