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201
Three-phase simulated annealing algorithms for exam scheduling
Published 2003“…Scheduling final exams for large numbers of courses and students in universities is an intractable problem. We decompose the problem into three phases and propose simulated annealing algorithms for these phases. …”
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202
An Algorithm For Computing The Distance Between Two Circular Disks
Published 2020“…We also show that the point-circle distance problem is solvable in closed-form, and the convergence of the numerical algorithm is linear.…”
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203
A hybrid genetic algorithm for task allocation in multicomputers
Published 2018“…A hybrid genetic algorithm for the task allocation problem (HGATA) in multicomputers is presented. …”
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204
A genetic algorithm for testable data path synthesis
Published 2017“…The approach is formulated as an allocation problem and solved using an efficient genetic algorithm that generates cost-effective testable designs. …”
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205
Simultaneous stabilization of multimachine power systems viagenetic algorithms
Published 1999“…This paper demonstrates the use of genetic algorithms for the simultaneous stabilization of multimachine power systems over a wide range of operating conditions via single-setting power system stabilizers. …”
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206
Evolutionary algorithms for VLSI multi-objective netlist partitioning
Published 2006“…A series of experiments are performed to evaluate the efficiency of the algorithms. ISCAS-85/89 benchmark circuits are used and experimental results are reported and analyzed to compare the performance of GA, TS and SimE. …”
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207
Optimizing Document Classification: Unleashing the Power of Genetic Algorithms
Published 2023“…Additionally, our proposed model optimizes the features using a genetic algorithm. Optimal feature selection performances a crucial role in this domain, enhancing the overall accuracy of the document classification system while reducing the time complexity associated with selecting the most relevant features from this large-dimensional space. …”
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208
A high-performance toolkit for fast exact algorithms
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209
A hybrid graph representation for exact graph algorithms
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210
Distributed dimension reduction algorithms for widely dispersed data
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211
A hybrid graph representation for recursive backtracking algorithms
Published 2017“…Many exact algorithms for NPNP -hard graph problems adopt the old Davis-Putman branch-and-reduce paradigm. …”
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212
Social spider optimization algorithm: survey and new applications
Published 2024“…Finally, this chapter provides an expectation of the fields that need to work with this algorithm to improve problem-solving and the fields that have a growing number studies that use this algorithm.…”
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213
A GRASP Approach for Solving Large-Scale Electric Bus Scheduling Problems
Published 2021“…The problem is modelled using a mixed integer program (MIP) in which the charging time of an EB is pertinent to the battery’s state-of-charge level. …”
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214
Spectrum Sensing Algorithms for Cooperative Cognitive Radio Networks
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215
Swarm intelligence-based hyper-heuristic for the vehicle routing problem with prioritized customers
Published 2020“…Various studies have been conducted regarding this topic; nevertheless, up to now, few studies used the Cuckoo Search-based hyper-heuristic. This paper modifies a classical mathematical model that represents the VRPC, implements and tests an evolutionary Cuckoo Search-based hyper-heuristic, and then compares the results with those of our proposed modified version of the Clarke Wright (CW) algorithm. …”
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216
Metaheuristic Optimization Algorithms for Training Artificial Neural Networks
Published 2012“…The Cuckoo Search (CS) algorithm is a recently developed meta-heuristic optimization algorithm which is suitable for solving optimization problems. …”
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217
A new approach and faster exact methods for the maximum common subgraph problem
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218
Intelligent Rapidly-Exploring Random Tree Star Algorithm
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doctoralThesis -
219
A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem
Published 2021“…Due to the complex nature of the capacitated vehicle routingproblem, metaheuristic optimization algorithms are widely used for tackling this type of challenge.Coronavirus Herd Immunity Optimizer (CHIO) is a recent metaheuristic population-based algorithm thatmimics the COVID-19 herd immunity treatment strategy. …”
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220
Genetic and heuristic algorithms for regrouping service sites. (c2000)
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