A Case Study of Controlling Crossover in a Selection Hyper-heuristic Framework Using the Multidimensional Knapsack Problem
نویسندگان
چکیده
منابع مشابه
A Case Study of Controlling Crossover in a Selection Hyper-heuristic Framework Using the Multidimensional Knapsack Problem
Hyper-heuristics are high-level methodologies for solving complex problems that operate on a search space of heuristics. In a selection hyper-heuristic framework, a heuristic is chosen from an existing set of low-level heuristics and applied to the current solution to produce a new solution at each point in the search. The use of crossover low-level heuristics is possible in an increasing numbe...
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In evolutionary algorithms, crossover is used to recombine two candidate solutions to yield a new solution which hopefully inherits good material from both. Hyper-heuristics are high-level search methodologies which operate on a search space of heuristics. Hyper-heuristics can be broadly split into two categories; heuristic selection and generation methodologies. Here we will investigate hyper-...
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In evolutionary algorithms, crossover operators are used to recombine multiple candidate solutions to yield a new solution that hopefully inherits good genetic material. Hyper-heuristics are high-level methodologies which operate on a search space of heuristics for solving complex problems. In a selection hyper-heuristic framework, a heuristic is chosen from an existing set of low-level heurist...
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Hyper-heuristics are a class of high-level search techniques which operate on a search space of heuristics rather than directly on a search space of solutions. Early hyperheuristics focussed on selecting and applying a low-level heuristic at each stage of a search. Recent trends in hyper-heuristic research have led to a number of approaches being developed to automatically generate new heuristi...
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ژورنال
عنوان ژورنال: Evolutionary Computation
سال: 2016
ISSN: 1063-6560,1530-9304
DOI: 10.1162/evco_a_00145