Results 31 to 40 of about 1,727,456 (275)
Measurement FPR of RVFL+ JS against other metaheuristic algorithms.
, 2021 Measurement FPR of RVFL+ JS against other metaheuristic algorithms.
Sherif I. Barakat (11731509) +2 more
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Open Mathematics, 2017 Nowadays, nature–inspired metaheuristic algorithms are most powerful optimizing algorithms for solving the NP–complete problems. This paper proposes three approaches to find near–optimal Golomb ruler sequences based on nature–inspired algorithms in a ...
Bansal Shonak +2 more
doaj +1 more source
Implementing Metaheuristic Optimization Algorithms with JECoLi [PDF]
2009 Ninth International Conference on Intelligent Systems Design and Applications, 2009 This work proposes JECoLi - a novel Java-based library for the implementation of metaheuristic optimization algorithms with a focus on Genetic and Evolutionary Computation based methods. The library was developed based on the principles of flexibility, usability, adaptability, modularity, extensibility, transparency, scalability, robustness and ...
Pedro Evangelista +2 more
openaire +3 more sources
Metaheuristics in nature-inspired algorithms [PDF]
Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, 2014 To many people, the terms nature-inspired algorithm and metaheuristic are interchangeable. However, this contemporary usage is not consistent with the original meaning of the term metaheuristic, which referred to something closer to a design pattern than to an algorithm.
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Measurement accuracy of RVFL+ JS against other metaheuristic algorithms.
, 2021 Measurement accuracy of RVFL+ JS against other metaheuristic algorithms.
Sherif I. Barakat (11731509) +2 more
core +1 more source
Review of Metaheuristic Optimization Algorithms for Power Systems Problems [PDF]
, 2023 Metaheuristic optimization algorithms are tools based on mathematical concepts that are used to solve complicated optimization issues. These algorithms are intended to locate or develop a sufficiently good solution to an optimization issue, particularly ...
Nassef, Ahmed M. +7 more
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Next Generation Metaheuristic: Jaguar Algorithm
IEEE Access, 2018 Metaheuristic algorithms are implemented to solve optimization problems and have recently received significant research attention. Metaheuristic algorithms rely primarily on two properties, exploration, and exploitation.
Yao-Hsin Chou +3 more
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A Hybrid Algorithm for Metaheuristic Optimization
CoRR, 2019 We propose a novel, flexible algorithm for combining together metaheuristicoptimizers for non-convex optimization problems. Our approach treatsthe constituent optimizers as a team of complex agents that communicateinformation amongst each other at various intervals during the simulationprocess.
Sujit Pramod Khanna +1 more
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Measurement sensitivity of RVFL+ JS against other metaheuristic algorithms.
, 2021 Measurement sensitivity of RVFL+ JS against other metaheuristic algorithms.
Sherif I. Barakat (11731509) +2 more
core +1 more source
Why Tuning the Control Parameters of Metaheuristic Algorithms Is So Important for Fair Comparison?
Mendel, 2020 Although metaheuristic optimization has become a common practice, new bio-inspired algorithms often suffer from a priori ill reputation. One of the reasons is a common bad practice in metaheuristic proposals.
Anezka Kazikova +2 more
doaj +1 more source