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A method for the minimum coloring problem using genetic algorithms
Published 2006“…This paper presents a method to solve the graph coloring problem for arbitrary graphs using genetic algorithms. …”
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Optimal VAR Dispatch Using a Multiobjective Evolutionary Algorithm
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Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering
Published 2022“…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. …”
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Correlation Clustering via s-Club Cluster Edge Deletion
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A method for test scheduling using an evolutionary approach. (c2000)
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A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs†
Published 2010“…This paper presents a hardware implementation to solve the graph colouring problem (chromatic number χ(G)) for arbitrary graphs using the Hopfield neural network (HNN) model of computation. …”
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A Stochastic Approach To Solving The Weight Setting Problem in OSPF Networks
Published 2007Get full text
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A matheuristic approach for solving the 2-connected dominating set problem
Published 2019“…<p dir="ltr">This paper describes a matheuristic approach for solving the 2-connected dominating set problem (2-CDS). …”
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Salp swarm algorithm: survey, analysis, and new applications
Published 2024“…This chapter offers the sea salmon-associated polyp (SALP) swarm algorithm (SSA) and multipurpose SSA (MSSA) as new optimization algorithms for solving optimization problems with single and multiple objectives. …”
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Optimal multiobjective design of robust power system stabilizers using genetic algorithms
Published 2003“…Optimal multiobjective design of robust multimachine power system stabilizers (PSSs) using genetic algorithms is presented in this paper. …”
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A GRASP Approach for Solving Large-Scale Electric Bus Scheduling Problems
Published 2021“…The GRASP algorithm is used for case studies on several public transport systems having various properties and sizes. …”
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Holistic Design: Optimizing Mechatronic Systems Using Multi Objective Optimization
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doctoralThesis -
37
Estimating Construction Project Duration Using a Machine Learning Algorithm
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masterThesis -
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Power-constrained system-on-a-chip test scheduling using a genetic algorithm
Published 2006“…The problem is solved using a "sessionless" scheme that minimizes the number of idle test slots. …”
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Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization
Published 2022“…An efficient optimization method is needed to address complicated problems and find optimal solutions. The gazelle optimization algorithm (GOA) is a global stochastic optimizer that is straightforward to comprehend and has powerful search capabilities. …”
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Minimum UAV fog servers with maximum IoT devices association using genetic algorithms
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