Results 21 to 30 of about 101,086 (306)
Towards the Design of Heuristics by Means of Self-Assembly [PDF]
The current investigations on hyper-heuristics design have sprung up in two different flavours: heuristics that choose heuristics and heuristics that generate heuristics.
Natalio Krasnogor +2 more
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A brief history of heuristics: how did research on heuristics evolve?
Heuristics are often characterized as rules of thumb that can be used to speed up the process of decision-making. They have been examined across a wide range of fields, including economics, psychology, and computer science.
Mohamad Hjeij, Arnis Vilks
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As exact algorithms are unfeasible to solve real optimization problems, due to their computational complexity, meta-heuristics are usually used to solve them.
Vinicius Renan de Carvalho +2 more
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We conducted two studies (N = 263) to examine the relationship between the pioneering-innovative orientation of managers, innovation heuristics and organisational performance.
Sanjay Singh, Yogita Aggarwal
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Path finding in graphs is one of the most studied classes of problems in computer science. In this context, search algorithms are often extended with heuristics for a more efficient search of target nodes. In this work we combine recent advancements in Neural Algorithmic Reasoning to learn efficient heuristic functions for path finding problems on ...
Danilo Numeroso +2 more
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Utilitarianism and Heuristics [PDF]
The paper develops an alternative to Expected UtilityAnalyses which are often too complex to use in Utilitarianism.
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Identifying Resource-Rational Heuristics for Risky Choice
Perfectly rational decision-making is almost always out of reach for people because their computational resources are limited. Instead, people may rely on computationally frugal heuristics that usually yield good outcomes.
Sayan Gul +4 more
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Heuristic Revision by Heuristic Space Exploration [PDF]
Heuristics are often used to solve complex problems. Indeed, such problem-specific knowledge, when pertinent, helps to efficiency find good solutions to complex problems. Unfortunately, acquiring and maintaining a heuristic set can be fastidious. In order to face this problem, a approach consists in revising the heuristic sets by means of experiments ...
openaire +2 more sources
State-of-the-art dari metode yang digunakan untuk menyelesaikan permasalahan optimasi kombinatorik, yang diketahui sebagai permasalahan NP-hard, adalah meta-heuristics.
Arif Djunaidy +2 more
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Meta-heuristics meet sports: a systematic review from the viewpoint of nature inspired algorithms
This review explores the avenues for the application of meta-heuristics in sports. The necessity of sophisticated algorithms to investigate different NP hard problems encountered in sports analytics was established in the recent past.
Ariyaratne M.K.A., Silva R.M.
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