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[PDF] Top 20 Incest prevention and multicore combinated evolutionary algorithms for the job shop scheduling problem

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Incest prevention and multicore combinated evolutionary algorithms for the job shop scheduling problem

Incest prevention and multicore combinated evolutionary algorithms for the job shop scheduling problem

... because the searching space is efficiently exploited (by the multiple application of crossovers) and explored (by a greater number of samples provided by multiple ...of the scanning crossover ... See full document

3

Incorporating tabu search for local search into evolutionary algorithms to solve the job shop scheduling problem

Incorporating tabu search for local search into evolutionary algorithms to solve the job shop scheduling problem

... 6XSSRVLQJ D -663 ZLWK MREV DQG PDFKLQHV D SRVVLEOH FKURPRVRPH XQGHU RSHUDWLRQ EDVHG UHSUHVHQWDWLRQ PLJKW EH [ > @ 1RZ VRPH HYDOXDWLRQ IXQFWLRQ WKDW SURYLGHV IHHGEDFN IRU WKH[r] ... See full document

11

Evolutionary approaches for the parallel task scheduling problem : the representation issue

Evolutionary approaches for the parallel task scheduling problem : the representation issue

... other scheduling problems as Flow Shop or Job Shop, which have different machine environments and more oriented to production scheduling, after an intensive search in the ... See full document

10

A study of genotype and phenotype distributions in hybrid evolutionary algorithms to solve the flow shop scheduling problem

A study of genotype and phenotype distributions in hybrid evolutionary algorithms to solve the flow shop scheduling problem

... Summarising, for each particular instance jobs are distributed following a quite similar pattern under any of the hybrid algorithms used to solve the ...that the evolutionary ... See full document

10

Improving evolutionary algorithms performance by extending incest prevention

Improving evolutionary algorithms performance by extending incest prevention

... Genetic Algorithms (GAs), a special class of Evolutionary Algorithms (EAs), attempt to use the mechanism of natural selection to search a problem space using the Darwinian theory ... See full document

12

Upgrading evolutionary algorithms through multiplicity for multiobjective optimization in job shop scheduling problems

Upgrading evolutionary algorithms through multiplicity for multiobjective optimization in job shop scheduling problems

... of scheduling problems [17] and their economical impact motivated extensive research [1], [2], [28], ...[29]. The job shop scheduling problem (JSSP) is related to ... See full document

12

An analysis on selection methods and multirecombination in evolutionary search when solving the job shop scheduling problem

An analysis on selection methods and multirecombination in evolutionary search when solving the job shop scheduling problem

... outline the relationship between the population mean fitness (fluctuating curves) and the best individual fitness (bottom curves) through the evolution process for la12 ... See full document

11

Facing the job shop scheduling problem wih hybrid evolutionary algorithms

Facing the job shop scheduling problem wih hybrid evolutionary algorithms

... repeated gene does not indicate a concrete operation of a job but refers to an operation which is context-dependent. It is easy to see that any permutation of the chromosome always yields to a feasible ... See full document

3

Multiobjective evolutionary algorithms for job shop scheduling

Multiobjective evolutionary algorithms for job shop scheduling

... search the space for a set of slightly “good” solutions and then apply multicrite-ria ...in the searching space of a multiobjective problem. The Pareto criterion simply states ... See full document

3

Problemas de Scheduling: heurísticas para el Job Shop

Problemas de Scheduling: heurísticas para el Job Shop

... de Scheduling y sus métodos de ...de Scheduling y se realiza una descripción detallada del Job Shop Scheduling ...de Scheduling como el Recocido Simulado y SB así como operadores ... See full document

115

The role of different crossover methods when solving the open shop scheduling problem via a simple evolutionary approach

The role of different crossover methods when solving the open shop scheduling problem via a simple evolutionary approach

... difficult scheduling problems. One of the most frequent models taken from real life is known as open ...Open Shop Scheduling Problem (OSSP) involves a collection of m machines ... See full document

9

Diseño de modelo para la programación de producción para una empresa de empaques de caucho

Diseño de modelo para la programación de producción para una empresa de empaques de caucho

... un Job shop tradicional, por lo cual la asignación de máquinas no se consideraba y para el desarrollo de la programación básicamente se presentaba con un enfoque en la secuenciación de ... See full document

74

Different evolutionary approaches to solve the flow shop scheduling problem

Different evolutionary approaches to solve the flow shop scheduling problem

... preeminent problem that must be faced, in order to use these Evolutionary Algorithms (EA’s), is the trade-off between exploration and ...cause the algorithm to be mislead towards ... See full document

3

Perfomance evaluation of selection methods to solve the job shop scheduling problem

Perfomance evaluation of selection methods to solve the job shop scheduling problem

... Página 470 Workshop de Investigadores en Ciencias de la Computación WICC 2002. Página 471 Workshop de Investigadores en Ciencias de la Computación WICC 2002[r] ... See full document

5

O uso do Mixed-Integer e Constraint Programming para a resolução do Job Shop Scheduling Problem

O uso do Mixed-Integer e Constraint Programming para a resolução do Job Shop Scheduling Problem

... do Job Shop Scheduling Problem (JSSP), sendo uma baseada em modelagens Mixed-Integer Programming (MIP) e outras duas resolvidas com base nos conceitos do Constraint Programming (CP), por meio ... See full document

9

Formulations and Algorithms for the Kidney Exchange Problem

Formulations and Algorithms for the Kidney Exchange Problem

... In the following experiment the goal is to compare the eSPLIT Formulation with ReSPLIT(‘g’) formulations under the three di↵erent strategies for ...DM and DA1 data sets. ... See full document

107

Algoritmo evolutivo para asignar trabajos a máquinas, con diferente secuencia de operaciones, desde la perspectiva de la planificación detallada

Algoritmo evolutivo para asignar trabajos a máquinas, con diferente secuencia de operaciones, desde la perspectiva de la planificación detallada

... En este trabajo se ha implementado un Algoritmo Genético Simple para resolver el problema de Job Shop Scheduling, conocido así dentro de lo que se llama planificación detall[r] ... See full document

118

Hybrid evolutionary algorithms for the TSP

Hybrid evolutionary algorithms for the TSP

... populations. The decision to apply SA is taken according to the following ...of the convergence begins. From that point in the evolutionary process, when after a given number λ of ... See full document

3

A survey on financial applications of metaheuristics

A survey on financial applications of metaheuristics

... constraint. The results show higher quality solutions in comparison with the non-hybridized evolutionary version in terms of speed and ...of the weaknesses of the VaR measure is ... See full document

24

An evolutionary approach to the parallel task scheduling problem

An evolutionary approach to the parallel task scheduling problem

... As wc are interested in scheduling of arbitrary tasks graph:s onto i.l reasonable number of processors we would be content with polynomial time schcduling algorithms[r] ... See full document

6

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