Top PDF Hybrid evolutionary algorithms to solve scheduling problems
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 ...
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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 ...
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Contrasting two MCMP alternatives in evolutionary algorithms to solve the job shop scheduling problem
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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, ...
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Incorporating tabu search for local search into evolutionary algorithms to solve the job shop scheduling problem
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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