Search results for "Optimization"

showing 10 items of 2824 documents

NASH EVOLUTIONARY ALGORITHMS: TESTING PROBLEM SIZE IN RECONSTRUCTION PROBLEMS IN FRAME STRUCTURES

2016

The use of evolutionary algorithms has been enhanced in recent years for solving real engineering problems, where the requirements of intense computational calculations are needed, especially when computational engineering simulations are involved (use of finite element method, boundary element method, etc). The coupling of game-theory concepts in evolutionary algorithms has been a recent line of research which could enhance the efficiency of the optimum design procedure and the quality of the design solutions achieved. They have been applied in several fields of engineering and sciences, mainly, in aeronautical and structural engineering (e.g: in computational fluid dynamics and solid mech…

frame optimizationFrame (networking)Evolutionary algorithmgame strategiesstructural optimizationrakennesuunnitteluevolutionary algorithmsAlgorithmNash equilibriumMathematicsProceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016)
researchProduct

Logistic terminal planning on a regional scale

2008

freight transport optimization
researchProduct

Recent Developments on Fixed Point Theory in Function Spaces and Applications to Control and Optimization Problems

2015

Nonlinear and Convex Analysis have as one of their goals solving equilibrium problems arising in applied sciences. In fact, a lot of these problems can be modelled in an abstract form of an equation (algebraic, functional, differential, integral, etc.), and this can be further transferred into a form of a fixed point problem of a certain operator. In this context, finding solutions of fixed point problems, or at least proving that such solutions exist and can be approximately computed, is a very interesting area of research. The Banach Contraction Principle is one of the cornerstones in the development of Nonlinear Analysis, in general, and metric fixed point theory, in particular. This pri…

function spacefixed pointSettore MAT/05 - Analisi Matematicaoptimization problem
researchProduct

Fuzzy Systems Based on Multispecies PSO Method in Spatial Analysis

2012

We present a method by using the hierarchical cluster-based Multispecies particle swarm optimization to generate a fuzzy system of Takagi-Sugeno-Kang type encapsulated in a geographical information system considered as environmental decision support for spatial analysis. We consider a spatial area partitioned in subzones: the data measured in each subzone are used to extract a fuzzy rule set of above mentioned type. We adopt a similarity index (greater than a specific threshold) for comparing fuzzy systems generated for adjacent subzones.

fuzzy systemlcsh:Computer softwareDecision support systemControl and OptimizationFuzzy rulespatial analysisArticle SubjectParticle swarm optimizationFuzzy control systemcomputer.software_genreHierarchical clusteringSet (abstract data type)Computational Mathematicslcsh:QA76.75-76.765Similarity (network science)Control and Systems EngineeringInformation systemData mininglcsh:Electrical engineering. Electronics. Nuclear engineeringmultispecies PSOcomputerlcsh:TK1-9971MathematicsAdvances in Fuzzy Systems
researchProduct

Constrained consensus for bargaining in dynamical coalitional TU games

2011

game theory control and optimization
researchProduct

Distributed n-player approachability via time and space average consensus

2012

Abstract In this paper we consider repeated coalitional games with transferable utilities (TU) over networks. Namely, we consider a set of n players that have to distribute among themselves a vector of rewards (one for each player). In our network version there is no coordinator allocating the rewards, but the agents have to agree on a common time-averaged vector by updating the local estimates of the reward vector. The common time-averaged reward vector has to approach a suitable constraint set, called core of the game, that guarantees that no agents benefit from quitting the grand coalition. We propose a doubly (over time and space) averaging distributed algorithm. At every iteration, eac…

game theoryComputer Science::Computer Science and Game TheoryMathematical optimizationSpacetimeReward-based selectionconsensus algorithmsGeneral Medicinecontrol optimization game theoryApproachabilitySet (abstract data type)Constraint (information theory)Core (game theory)Order (business)Distributed algorithmnetwork systemMathematicsIFAC Proceedings Volumes
researchProduct

Density flow over networks: A mean-field game theoretic approach

2014

A distributed routing control algorithm for dynamic networks has recently been presented in the literature. The networks were modeled using time evolution of density at network edges and the routing control algorithm allowed edge density to converge to a Wardrop equilibrium, which was characterized by an equal traffic density on all used paths. We borrow the idea and rearrange the density model to recast the problem within the framework of mean-field games. The contribution of this paper is three-fold. First, we provide a mean-field game formulation of the problem at hand. Second, we illustrate an extended state space solution approach. Third, we study the stochastic case where the density …

game theoryMathematical optimizationDensity flowDensity modelTime evolutionMean field gameSettore ING-INF/04 - Automaticamean field gameState spaceSettore MAT/09 - Ricerca OperativaRouting (electronic design automation)Density evolutionBrownian motionMathematics53rd IEEE Conference on Decision and Control
researchProduct

New insights on the role of ecology and life-history in social evolution

2017

Biological altruism, defined as a behaviour that benefits others at an apparent cost to the focal individual, is found abundantly across different levels of biological organization. While kin selection has been useful for explaining both cooperation and conflict in specialized cooperative societies, more theoretical work has to be done to develop models for realistic ecological and life-history contexts. This thesis aims to fill this gap by providing several new insights on the role of ecology and life-history in various social systems. Firstly, I propose a model that incorporates realistic ecological mechanisms of population regulation and study how different population regulation mechanisms affe…

game theorycooperative breedingluonnonvalintalisääntymiskäyttäytyminenpistiäisetevoluutioeusocialitylisääntymineneläinten käyttäytyminenyhteiskuntahyönteisetyhteistyölife-history theoryoptimointievolutionary modelaltruismidynamic optimizationpeliteoriamatemaattiset mallitsukulaisvalintaampiaisetaitososiaalisuussocial evolution
researchProduct

Distributed $n$-player approachability and consensus in coalitional games

2015

We study a distributed allocation process where, at each time, every player: i) proposes a new bid based on the average utilities produced up to that time, ii) adjusts such allocations based on the inputs received from its neighbors, and iii) generates and allocates new utilities. The average allocations evolve according to a doubly (over time and space) averaging algorithm. We study conditions under which the average allocations reach consensus to any point within a predefined target set even in the presence of adversarial disturbances. Motivations arise in the context of coalitional games with transferable utilities (TU) where the target set is any set of allocations that makes the grand …

game theorydistributed control consensus game theory coalitional gamesdistributed controldistributed n-player approachability distributed n-player consensus coalitional games distributed allocation process utility allocation doubly averaging algorithm adversarial disturbance transferable utilities grand coalition stabilityOptimization and Control (math.OC)consensuFOS: MathematicsSettore MAT/09 - Ricerca OperativaMathematics - Optimization and Controlcoalitional games
researchProduct

Hybrid Propulsion Efficiency Increment through Exhaust Energy Recovery—Part 2: Numerical Simulation Results

2023

The efficiency of hybrid electric vehicles may be substantially increased if the energy of exhaust gases, which do not complete the expansion inside the cylinder of the internal combustion engine, is efficiently recovered using a properly designed turbo-generator and employed for vehicle propulsion. Previous studies, carried out by the same authors of this work, showed a potential hybrid vehicle fuel efficiency increment up to 15% employing a 20 kW turbine on a 100 HP-rated power thermal unit. The innovative thermal unit proposed here is composed of a supercharged engine endowed with a properly designed turbo-generator, which comprises two fundamental elements: an exhaust gas turbine expres…

gas turbineControl and OptimizationSettore ING-IND/08 - Macchine A FluidoRenewable Energy Sustainability and the Environmentradial turbineEnergy Engineering and Power TechnologyBuilding and Constructionhybrid electric vehicles (HEVs)Electrical and Electronic Engineeringturbo-generatorEngineering (miscellaneous)Energy (miscellaneous)turbine geometry
researchProduct