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[PDF] Top 20 An immune artificial algorithm for dynamic optimization problems: a case of study

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An immune artificial algorithm for dynamic optimization problems: a case of study

An immune artificial algorithm for dynamic optimization problems: a case of study

... to artificial immune systems: Improving adaptation in time dependent ...Proceedings of the Congress on Evolutionary Computation, pages ...Timmis. Immune inspired somatic contiguous hypermu- ... See full document

10

TítuloA parallel metaheuristic for large mixed integer dynamic optimization problems, with applications in computational biology

TítuloA parallel metaheuristic for large mixed integer dynamic optimization problems, with applications in computational biology

... avoidance of convergence stagnation using adaptive cooperation strategies tailored to this class of ...set of three very challenging case studies from the domain of dynamic ... See full document

32

Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems

Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems

... Keywords: Artificial Immune System, Constrained Optimization Problem, Simulated ...attention of some re- searchers, the Natural Immune System (NIS) and its powerful capacity of ... See full document

10

Artificial immune system for solving global optimization problems

Artificial immune system for solving global optimization problems

... motivation of the work presented in this paper is to verify the behavior of a new model of artificial immune system, it is called CTM, in the context of global ... See full document

11

A Bio-inspired algorithm to solve Dynamic Multi-Objective Optimization Problems

A Bio-inspired algorithm to solve Dynamic Multi-Objective Optimization Problems

... observed for the IGD results. Immune GDE3 obtained bet- ter results in most test ...variation of problem parameters improved the performance of Immune ...results of MOEA/D-BR ... See full document

166

Hybridizing an immune artificial algorithm with epsilon constrained method

Hybridizing an immune artificial algorithm with epsilon constrained method

... model of artificial immune system for solving constrained optimization problems with dynamic tolerance ...editors, Artificial Intelligence - MICAI07, pages 19–29, ... See full document

10

Dynamic Multi-Objective Optimization With jMetal and Spark: a Case Study

Dynamic Multi-Objective Optimization With jMetal and Spark: a Case Study

... University of Innsbruck, Austria Abstract. Technologies for Big Data and Data Science are receiving increasing research interest ...architecture of a tool aimed to solve Big Data Optimization ... See full document

12

Inverse problems for the dynamic characterization of materials

Inverse problems for the dynamic characterization of materials

... implemented case study consisted of the mechanical characterization of a soft malleable material, specifically a synthetic clay known as Roma Plastilina ...response of the soft clay was ... See full document

213

Solving constrained optimization using a T-Cell artificial immune system

Solving constrained optimization using a T-Cell artificial immune system

... types of problems, but particularly, the use of artificial immune systems to solve constrained (numerical) optimization problems is ...Genetic Algorithm (GA) and ... See full document

12

An algorithm for dynamic reconfiguration of mobile agents

An algorithm for dynamic reconfiguration of mobile agents

... add dynamic reconfiguration in the distributed programming system Polylith [Hof93, ...set of modules interconnected using a message ...kinds of dynamic re- configuration mentioned in Section ... See full document

10

TítuloAn efficient MP algorithm for structural shape optimization problems

TítuloAn efficient MP algorithm for structural shape optimization problems

... Preprint of the paper "An efficient MP algorithm for structural shape optimization problems" F.. Editors; WIT Press, Southampton, UK.[r] ... See full document

11

An Improvement Study of the Decomposition-based Algorithm Global WASF-GA for Evolutionary Multiobjective Optimization

An Improvement Study of the Decomposition-based Algorithm Global WASF-GA for Evolutionary Multiobjective Optimization

... approximation of the PF, for instance, if different weight vectors are generating similar ...region of the PF. To amend this, we propose to improve the performance of GWASF-GA by dynamically ... See full document

10

Case study: Strategy for selection and optimization of the Artificial Lift System in eastern Ecuador

Case study: Strategy for selection and optimization of the Artificial Lift System in eastern Ecuador

... García Villalva Álvaro Rolando, Ing. 1 , Lligüizaca Dávila Jorge Rodrigo, M.Sc 1 , Landeta Bejarano Andrés Valentino, Ing. 1 Escuela Superior Politécnica del Litoral, ESPOL, Facultad de Ciencias de la Tierra, Campus ... See full document

10

An Hybrid Genetic Algorithm to Optimization of Flow Shop Scheduling Problems under Real Environments Constraints

An Hybrid Genetic Algorithm to Optimization of Flow Shop Scheduling Problems under Real Environments Constraints

... effect of the inclusion of several constraints that have negative influence in the real manufacturing ...productions. For the solution of the scheduling problem treated in this paper, known as ... See full document

12

An Integrated Framework for the Representation and Solution of Stochastic Energy Optimization Problems

An Integrated Framework for the Representation and Solution of Stochastic Energy Optimization Problems

... duration of 42 ...see for example Cano et ...agers of public buildings to find operational policies for controling energy resources, such as energy purchases as well as small-scale, on- site ... See full document

274

An Efficient Monte Carlo Algorithm for a
Restricted Class of Scattering Problems
in Radiation Transfer

An Efficient Monte Carlo Algorithm for a Restricted Class of Scattering Problems in Radiation Transfer

... number of both forced scatterings and interactions is excessive, each pseudo-photon is forced to remain in the system for many ...variance of quantities derived from very highly scattered light, but ... See full document

16

Reconfiguration of Electrical Networks by an Ant Colony Optimization Algorithm

Reconfiguration of Electrical Networks by an Ant Colony Optimization Algorithm

... and an appropriate reduction in costs of the ...configuration of the distribution network reduces power losses, which impacts directly on costs, also leading to significant energy ...problem ... See full document

7

Proposal of an algorithm for the dynamic spectrum allocation on elastic optical networks (EON)

Proposal of an algorithm for the dynamic spectrum allocation on elastic optical networks (EON)

... La asignación de espectro es un proceso clave en cual- quier OTN (Optical Transport Network) para garantizar la calidad del servicio o QoS (Quality of Service), pues de esta depende que los servicios ofrecidos en ... See full document

10

Automatic design of Ant Colony Optimization
for permutation problems

Automatic design of Ant Colony Optimization for permutation problems

... influence of the pheromone trails and the heuristic ...use of heuristic information either does not improve the construction phase or does not exist for an optimization prob- ...appear ... See full document

155

Non-invasive Geological Methods for Solving Geotechnical Problems of Slope Stability: Case Study

Non-invasive Geological Methods for Solving Geotechnical Problems of Slope Stability: Case Study

... areas of old alluvial fans slightly sta- bilized at the bottom of a river valley, the environment towards the NE-E (Pie del Tiro Sector) the slope is grea- ter than 35% and reaches a maximum of 45%, ... See full document

9

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