Results 21 to 30 of about 12,030 (235)
FOM: A Framework for Metaheuristic Optimization [PDF]
, 2003 Most metaheuristic approaches for discrete optimization are usually implemented from scratch. In this paper, we introduce and discuss FOM, an object-oriented framework for metaheuristic optimization to be used as a general tool for the development and the implementation of metaheuristic algorithms. The basic idea behind the framework is to separate the
Parejo Maestre, José Antonio +4 more
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Bio-inspired Optimization: metaheuristic algorithms for optimization
CoRR, 2020 In today's day and time solving real-world complex problems has become fundamentally vital and critical task. Many of these are combinatorial problems, where optimal solutions are sought rather than exact solutions. Traditional optimization methods are found to be effective for small scale problems.
Pravin S. Game, Vinod Vaze, Emmanuel M
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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
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Flood algorithm: a novel metaheuristic algorithm for optimization problems [PDF]
PeerJ Computer ScienceMetaheuristic algorithms are an important area of research that provides significant advances in solving complex optimization problems within acceptable time periods.
Ramazan Ozkan, Ruya Samli
doaj +2 more sources
Measurement + Control, 2019 This paper presents a new hybrid metaheuristic model in order to estimate wind speeds accurately. The study was started by the training process of artificial neural networks with some metaheuristic algorithms such as evolutionary strategy, genetic ...
Alper Kerem, Ali Saygin
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Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, 2023 Many optimization problems are complex, challenging and take a significant amount of computational effort to solve. These problems have gained the attention of researchers and they have developed lots of metaheuristic algorithms to use for solving these ...
Aydın Sipahioğlu, İslam Altın
doaj +1 more source
Algorithms, 2023 In this paper, a hybrid nature-inspired metaheuristic algorithm based on the Genetic Algorithm and the African Buffalo Optimization is proposed. The hybrid approach adaptively switches between the Genetic Algorithm and the African Buffalo Optimization ...
Marko Gulić, Martina Žuškin
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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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Metaheuristic Algorithms for Optimization: A Brief Review
Engineering ProceedingsIn the area of optimization, metaheuristic algorithms have attracted a lot of interest. For many centuries, human beings have utilized metaheuristic algorithms as a problem-solving approach.
Vinita Tomar, Mamta Bansal, Pooja Singh
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Trigonometric words ranking model for spam message classification
IET Networks, EarlyView., 2022 Abstract The significant increase in the volume of fake (spam) messages has led to an urgent need to develop and implement a robust anti‐spam method. Several of the current anti‐spam systems depend mainly on the word order of the message in determining the spam message, which results in the system's inability to predict the correct type of message when
Suha Mohammed Hadi +7 more
wiley +1 more source