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Performance Comparison of Meta-Heuristics Applied to Optimal Signal Design for Parameter Identification [PDF]
Sensors, 2023 This paper presents a comparative study that explores the performance of various meta-heuristics employed for Optimal Signal Design, specifically focusing on estimating parameters in nonlinear systems.
Accacio Ferreira dos Santos Neto +5 more
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A Self-Parametrization Framework for Meta-Heuristics [PDF]
Mathematics, 2022 Even while the scientific community has shown great interest in the analysis of meta-heuristics, the analysis of their parameterization has received little attention.
André S. Santos +2 more
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Hybrid meta-heuristics for robust scheduling. [PDF]
, 2006 The production and delivery of rapidly perishable goods in distributed supply networks involves a number of tightly coupled decision and optimization problems regarding the just-in-time production scheduling and the routing of the delivery vehicles in order to satisfy strict customer specified time-windows.
Surico, M. +3 more
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Review of conventional metaheuristic techniques for resource-constrained project scheduling problem [PDF]
Journal of Project Management, 2022 This paper is concerned with an overview of the Resource-Constrained Project Scheduling Problem (RCPSP) and the conventional meta-heuristic solution techniques that have attracted the attention of many researchers in the field.
Amir Golab +3 more
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IEEE Access, 2023 Meta-heuristics are commonly applied to solve various global optimization problems. In order to make the meta-heuristics performing a global search, balancing their exploration and exploration ability is still an open avenue.
Tapas Si +7 more
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Applied Sciences, 2021 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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Meta-heuristics meet sports: a systematic review from the viewpoint of nature inspired algorithms
International Journal of Computer Science in Sport, 2022 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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IEEE Access, 2021 As is known to all, the heterogeneous green scheduling objects have the intelligent feedback related to the efficiencies corresponding to the schemes, which has been largely ignored in most existing studies. That is why the existing optimization dynamics
Jinglian Wang +3 more
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Meta-Heuristics for Solving the Software Component Allocation Problem
IEEE Access, 2020 The software component allocation problem is concerned with mapping a set of software components to the computational units available in a heterogeneous computing system while maximizing a certain objective function.
Issam Al-Azzoni, Saqib Iqbal
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Benchmarking Meta-heuristic Optimization
International Journal of Advanced Networking and Applications, 2020 Solving an optimization task in any domain is a very challenging problem, especially when dealing with nonlinear problems and non-convex functions. Many meta-heuristic algorithms are very efficient when solving nonlinear functions. A meta-heuristic algorithm is a problem-independent technique that can be applied to a broad range of problems.
Nasr, Mona +5 more
openaire +2 more sources