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Meta-heuristic optimization reloaded
2011 Third World Congress on Nature and Biologically Inspired Computing, 2011We consider the meta-heuristic approach to optimization as to be performed in four stages (model, optimality, algorithm, verification), and point out the potential of varying the optimality stage, in contrary to the design of new algorithms. Thus, we can also apply the meta-heuristic approach to optimization to the task of fair distribution of ...
Mario Köppen +2 more
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Affine invariance of meta-heuristic algorithms
Information Sciences, 2021Abstract An algorithm whose performance depends on the objective function being aligned with a privileged coordinate system is a poor choice in general because it is unlikely that the optimal orientation will be known in advance. In this paper, a property of meta-heuristic algorithms, named affine invariance, is introduced to verify whether the ...
ZhongQuan Jian, GuangYu Zhu 0005
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Heuristics and Meta-heuristics in Scientific Judgement
The British Journal for the Philosophy of Science, 2016Abstract Despite the increasing recognition that heuristics may be involved in myriad scientific activities, much about how to use them prudently remains obscure.
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Heuristic space diversity management in a meta-hyper-heuristic framework
2014 IEEE Congress on Evolutionary Computation (CEC), 2014This paper introduces the concept of heuristic space diversity and investigates various strategies for the management of heuristic space diversity within the context of a meta-hyper-heuristic algorithm. Evaluation on a diverse set of floating-point benchmark problems show that heuristic space diversity has a significant impact on hyper-heuristic ...
Jacomine Grobler +3 more
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Meta-heuristic approach to proportional fairness
Evolutionary Intelligence, 2012Proportional fairness is a concept from resource sharing tasks among n users, where each user receives at least 1/n of her or his total value of the infinitely divisible resource. Here we provide an approach to proportional fairness that allows its extension to discrete domains, as well as for the direct application of evolutionary computation to ...
Mario Köppen +3 more
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A Meta-heuristic for Subset Problems
2001In constraint solvers, variable and value ordering heuristics are used to finetune the performance of the underlying search and propagation algorithms. However, few guidelines have been proposed for when to choose what heuristic among the wealth of existing ones.
Pierre Flener +2 more
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Meta heuristics for prime factorization problem
2013 World Congress on Nature and Biologically Inspired Computing, 2013Generally, cryptographic algorithms are based on NP-Complete problems like prime factorization, discrete logarithm etc. The difficulties of RSA and Rabin cryptographic algorithms are based on prime factorization problem. Prime factorization problem may be modeled as a Non-uniform discrete optimization problem.
Pranav Dass +3 more
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Meta-heuristic bus transportation algorithm
Iran Journal of Computer Science, 2018Over recent decades, several experience-based mathematical models have been proposed. In addition to collective intelligence, in recent years some efforts have been made to apply human experience-based intelligence to open up a new world of possibilities to design new meta-heuristic algorithms for solving NP problems.
Mohammad Bodaghi, Koosha Samieefar
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Dynamic Problems and Nature Inspired Meta-Heuristics
2006 Second IEEE International Conference on e-Science and Grid Computing (e-Science'06), 2006Biological systems are, by their very nature, adaptive. However, the meta-heuristic search algorithms inspired by them have mainly been applied to static problems (i.e., problems that do not change while they are being solved). Recently, a greater body of work has been completed on the newer meta-heuristics, particularly ant colony optimisation ...
Tim Hendtlass +2 more
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Meta-heuristics: The State of the Art
2001Meta-heuristics support managers in decision-making with robust tools that provide high-quality solutions to important applications in business, engineering, economics and science in reasonable time horizons. In this paper we give some insight into the state of the art of meta-heuristics. This primarily focuses on the significant progress which general
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