[PDF] Top 20 Hybrid evolutionary algorithms to solve scheduling problems

Hybrid evolutionary algorithms to solve scheduling problems

... Página 454 Workshop de Investigadores en Ciencias de la Computación WICC 2002.. Página 455 Workshop de Investigadores en Ciencias de la Computación WICC 2002[r] ... See full document

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Evolutionary algorithms whit studs and random immigrants to solve E/T scheduling problems

... ❄❆❅✑❇❉❈✦❊✍❋☎●✍❈ The study of earliness and tardiness penalties in scheduling is a relatively recent area of research. In the past, traditionally the emphasis was put on regular measures that are nondecreasing in ... See full document

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

... us to describe the job allocation in relation with their ...the hybrid algorithms used to solve the ...the evolutionary algorithm orients the job distribution independently of ... See full document

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Solving unrestricted parallel machine scheduling problems via evolutionary algorithms

... according to resource availability following some allocation ...job to leave the system, known as the makespan (C max ), is one of the most important objective functions to be minimized, because it ... See full document

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Contrasting two MCMP alternatives in evolutionary algorithms to solve the job shop scheduling problem

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Facing the job shop scheduling problem wih hybrid evolutionary algorithms

... ✹✬✺✼✻✜✻✾✽✸✿✦❀ Evolutionary algorithms (EAs) offer a robust approach to problem ...approaches to favour he search process. One way is to hybridize an evolutionary algorithm with ... See full document

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Evolutionary algorithms to face computer systems management problems

... that evolutionary algorithms are efficient applicable tools for management of resources in computer systems, and have provided experimental evidence of this claim through diverse applications in the field, ... See full document

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Different evolutionary approaches to solve the flow shop scheduling problem

... shop problems. Many researchers faced the Flow Shop Scheduling Problem (FSSP) by means of well-known heuristics which, are successfully used for certain instances of the problem providing a single ... See full document

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

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Hybrid evolutionary algorithms for the TSP

... Even if simply stated the travelling salesman problem (TSP) is one of the most studied NP-hard problems. Many algorithms have been proposed to solve TSP. Dynamic programming and branch and ... See full document

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New hybrid neuro evolutionary algorithms for renewable energy and facilities management problems

... ML algorithms in H s and P prediction, there are not previous studies focussed on analyzing what are the best predictive variables to obtain an accurate prediction of these important parameters from ... See full document

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Multiobjective evolutionary algorithms for job shop scheduling

... includes to start working on dynamic ...several evolutionary heuristics to solve that kind of problems and then working on multiobjective ... See full document

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Hybrid algorithms for solving routing problems

... aimed to solve combina- torial problems, CP and LR, have been ...due to its improved convergence with respect to the Subgradient Optimization classical ...necessary to ... See full document

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

... tors to be ...Due to the existence of precedence constraints among operations of a particular job, the assignment of natural numbers to identify operations and the use of a permutation representation ... See full document

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A self-adaptive recombination method in evolutionary algorithms for solving epistatic problems

... difficult to determine a priori which one is the best suited for a given ...us to propose an adaptive evolutionary algorithm to solve the NK landscape problem, which dynamically selects ... See full document

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

... ✻✑✼✎✽✢✽✢✾✙✿✎❀ Evolutionary algorithms (EAs) have been successfully applied to scheduling ...applied to multimodal optimization ...related to new proposed multi-recombination ... See full document

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Sensor resource management with evolutionary algorithms applied to indoor positioning

... use to get our results consists of an infrared emitter — the target — and several ...used to calculate the target ...sensors to optimize the localization and the scheduling of the sensors ... See full document

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Sensor resource management with evolutionary algorithms applied to indoor positioning

... use to get our results consists of an infrared emitter — the target — and several ...used to calculate the target ...sensors to optimize the localization and the scheduling of the sensors ... See full document

117

Evolutionary optimization of due date based objectives in unrestricted identical parallel machine scheduling problems

... approaches to scheduling problems Dispatching heuristics assign a priority index to every job in a waiting ...selected to be processed ...mentioned problems whose principal ... See full document

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Knowledge Insertion: an Efficient Approach to Reduce Search Effort in Evolutionary Scheduling

... Evolutionary algorithms (EAs) are merely blind search algorithms, which only make use of the relative fitness of solutions, but completely ignore the nature of the ...difficult problems with ... See full document

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