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A cooperative system for metaheuristic algorithms
Expert Systems with Applications, 2021Abstract Optimization problems are defined as the functions whereby the target is to find the optimum state depending on the parameters that have certain limitations. In the field of optimization, the aim is to find from among multiple alternative solutions the optimal solution or approximate solution that provides all the restrictions. Metaheuristic
Baris Tekin Tezel, Ali Mert
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Brick-Up Metaheuristic Algorithms
2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), 2016Metaheuristic algorithms have been a very important topic in computer science since the start of evolutionary computing the Genetic Algorithms 1950s. By now these metaheuristic algorithms have become a very large family with successful applications in industry. A challenge which is always pondered on, is finding the suitable metaheuristic algorithm for
Qun Song 0004, Simon Fong 0001
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Metaheuristic anopheles search algorithm
Evolutionary Intelligence, 2020Today, various optimization problems have been solved using different optimization techniques such as linear programming, nonlinear programming and dynamic programming. These methods mainly try to find optimal solution in the proximity of starting point.
Hossein Baloochian +2 more
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Hybrid Metaheuristic Algorithm for Clustering
2018 IEEE Symposium Series on Computational Intelligence (SSCI), 2018Clustering involves grouping a collection of data objects into meaningful or useful categories such that objects within the same category are similar to one another while objects in different categories are dissimilar. Clustering is a challenging problem with diverse practical applications that span multiple research domains.
Olayinka Idowu Oduntan +1 more
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The gradient evolution algorithm: A new metaheuristic
Information Sciences, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ren-Jieh Kuo 0001, Ferani E. Zulvia
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Handbook of Approximation Algorithms and Metaheuristics
The Computer Journal, 2010PREFACE BASIC METHODOLOGIES Introduction, Overview, and Notation Basic Methodologies and Applications Restriction Methods Greedy Methods Recursive Greedy Methods Linear Programming LP Rounding and Extensions On Analyzing Semidefinite Programming Relaxations of Complex Quadratic Optimization Problems Polynomial-Time Approximation Schemes Rounding ...
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Performance Measures of Metaheuristic Algorithms
2015Generally speaking, it is not fully understood why and how metaheuristic algorithms work very well under what conditions. It is the intention of this paper to clarify the performance characteristics of some of popular algorithms depending on the fitness landscape of specific problems. This study shows the performance of each considered algorithm on the
Joong Hoon Kim +3 more
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Metaheuristic Optimization Algorithms
2021In this introductory chapter, specific state-of-the-art metaheuristic optimization algorithms are outlined. The presented algorithms belong to the broad trajectory-based and population-based categories, and they are particularly selected as they constitute the building blocks of algorithm portfolios presented in the forthcoming chapters.
Jitendra Kumar +3 more
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A Metaheuristic Algorithm for Ship Weather Routing
Operations Research Forum, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A Metaheuristic Algorithm for Hiding Sensitive Itemsets
2018In this paper, we first present a multi-objective algorithm for hiding the sensitive information with transaction deletion based on the NSGAII framework. The proposed can efficiently sort the non-dominated solutions and find the set of Pareto results for later process.
Jerry Chun-Wei Lin +4 more
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