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Approximate maximum clique algorithm (AMCA): A clever technique for solving the maximum clique problem through near optimal algorithm for minimum vertex cover problem
Published 2018“…The only way left is to use the approximation algorithm of Minimum Vertex Cover (MVC) for the solution of the Maximum Clique (MC) problem. …”
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Finding minimum path by using Genetic Algorithm (GA)/ Siti Zuraifah Hashim
Published 2007“…In this paper we considered finding minimum path problem which is known as shortest path problem. …”
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Firefly algorithm: Minimizing cost on single-level lot-sizing problem / Siti Hafawati Jamaluddin ... [et al.]
Published 2018“…From the problem emerge, the minimum of production cost is determined by using firefly algorithm. …”
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A Genetic Algorithm Based Approach for Solving the Minimum Dominating Set of Queens Problem
Published 2017“…However, literature shows that limited research has been carried out to solve theMDSQP using bioinspired algorithms. To fill this gap, this paper proposes a simple and effective solution based on genetic algorithms to solve this classical problem. …”
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A Genetic Algorithm Based Approach for Solving the Minimum Dominating Set of Queens Problem
Published 2017“…However, literature shows that limited research has been carried out to solve theMDSQP using bioinspired algorithms. To fill this gap, this paper proposes a simple and effective solution based on genetic algorithms to solve this classical problem. …”
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Some greedy based algorithms for multi periods degree constrained minimum spanning tree problem
Published 2015“…The Multi Periods Degree Constrained Minimum Spanning Tree Problem (MPDCMST) is a problem that concerns about finding a minimum networks installations for a certain commodity so that the networks does not violate the reliability restriction whilst also satisfying the fund limitation in every stages of installations. …”
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A hybrid local search algorithm for minimum dominating set problems
Published 2022“…In the first stage, we propose an adaptive information content-based local search algorithm as an exploratory procedure. This algorithm focuses on generating promising solutions in different areas of the solution space using the problem search history. …”
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A hybrid local search algorithm for minimum dominating set problems
Published 2022“…In the first stage, we propose an adaptive information content-based local search algorithm as an exploratory procedure. This algorithm focuses on generating promising solutions in different areas of the solution space using the problem search history. …”
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Batch mode heuristic approaches for efficient task scheduling in grid computing system
Published 2016“…Many algorithms have been implemented to solve the grid scheduling problem. …”
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Hybrid bat algorithm for minimum dominating set problem
Published 2017“…Hence, we propose a stochastic approach to tackle the minimum dominating set problem (MDS). The main aim of MDS is to find the minimum number of nodes that covers all other nodes in a graph. …”
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A genetic algorithm for solving single level lotsizing problems
Published 2003“…Thus, stochastically-based heuristics that have the mechanism to escape from local minimum are needed. In this paper a genetic algorithm for solving single level lot-sizing problems is proposed and the results of applying the algorithm toexample problems are discussed. …”
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On network flow problems with convex cost
Published 2004“…To address this problem, we derive the optimality conditions for minimising convex and differentiable cost functions, and devise an algorithm based on the primal-dual algorithm commonly used in linear programming. …”
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Solving economic load dispatch problem using genetic algorithm method / Norliza Kamarulzaman
Published 2009“…In this study, Genetic Algorithm method is used to overcome this problem. …”
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Hybrid artificial bee colony algorithm with branch and bound for two–sided assembly line balancing
Published 2018“…However, not many types of research are focused on the study of the 2SALB problem. Recently, the artificial bee colony (ABC) algorithm was used in the solution process where it was considered as a very useful, effective and well-known algorithm. …”
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Cost minimum proportioning of non-Slump concrete mix using genetic algorithms
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Hybrid Spatial-Artificial Intelligence Approach for Renewable Energy Sources Sites Identification and Integration in Sarawak State
Published 2022“…In each case, the Traveling Salesman Problem-Genetic Algorithm (TSP-GA) algorithm is applied to determine a minimum total distance of RES sites integration. …”
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