Results 171 to 180 of about 1,136 (193)
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An Evolutionary Hyperheuristic to Solve Strip-Packing Problems
2007In this paper we introduce an evolutionary hyperheuristic approach to solve difficult strip packing problems. We have designed a genetic based hyperheuristic using the most recently proposed low-level heuristics in the literature. Two versions for tuning parameters have also been evaluated.
Pablo Garrido 0001, María Cristina Riff
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Solving Continuous Optimization Problems with a New Hyperheuristic Framework
Lecture Notes in Computer ScienceNoémi Gaskó
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An Efficient Hyperheuristic for Strip-Packing Problems
2008In this paper we introduce a hyperheuristic to solve hard strip packing problems. The hyperheuristic manages a sequence of greedy low-level heuristics, each element of the sequence placing a given number of objects. A low-level solution is built by placing the objects following the sequence of low-level heuristics.
Ignacio Araya +2 more
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Collaboration Between Hyperheuristics to Solve Strip-Packing Problems
2007In this paper we introduce a collaboration framework for hyperheuristics to solve hard strip packing problems. We have designed a genetic based hyperheuristic to cooperate with a hill-climbing based hyperheuristic. Both of them use the most recently proposed low-level heuristics in the literature. REVAC, which has recently been proposed for tuning [18],
Pablo Garrido 0001, María Cristina Riff
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A New Hyperheuristic Algorithm for Cross-Domain Search Problems
2012This paper describes a new hyperheuristic algorithm that performs well over a variety of different problem classes. A novel method for switching between working on a single solution and a pool of solutions is proposed. This method is combined with an adaptive strategy that guides the selection of the underlying low-level heuristics throughout the ...
Andreas Lehrbaum, Nysret Musliu
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Using Hyperheuristics under a GP Framework for Financial Forecasting
2011Hyperheuristics have successfully been used in the past for a number of search and optimization problems. To the best of our knowledge, they have not been used for financial forecasting. In this paper we use a simple hyperheuristics framework to investigate whether we can improve the performance of a financial forecasting tool called EDDIE 8.
Michael Kampouridis, Edward P. K. Tsang
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Hyperheuristic Method Based on Deep Reinforcement Learning
2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI), 2022Hitoshi Iima, Yoshiyuki Nakamura
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Hyperheuristic Search for SBST
2015 IEEE/ACM 8th International Workshop on Search-Based Software Testing, 2015openaire +1 more source