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361
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362
Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning
منشور في 2003"…In this paper the Simulated Evolution algorithm (SimE) is engineered to solve the optimization problem of multi-objective VLSI netlist bi-partitioning. …"
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article -
363
A simulated annealing algorithm for the capacitated vehicle routing problem
منشور في 2017"…The Capacitated Vehicle Routing Problem (CVRP) is a combinatorial optimization problem where a fleet of delivery vehicles must service known customer demands from a common depot at a minimum transit cost without exceeding the capacity constraint of each vehicle. …"
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conferenceObject -
364
A simulated annealing algorithm for the capacitated vehicle routing problem
منشور في 2011"…The Capacitated Vehicle Routing Problem (CVRP) is a combinatorial optimization problem where a eet of delivery vehicles must service known customer demands from a common depot at a minimum transit cost without exceeding the capacity constraint of each vehicle. …"
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conferenceObject -
365
Genetic Algorithm Based Simultaneous Eigenvalue Placement Of Power Systems
منشور في 2020"…The task of selecting the output feedback gains is converted to a simple optimization problem with an eigenvaluebased objective function, which is solved by a genetic algorithm. …"
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article -
366
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367
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368
A method for test scheduling using an evolutionary approach. (c2000)
منشور في 2000احصل على النص الكامل
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masterThesis -
369
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370
An evolutionary algorithm for solving the geometrically constrained site layout problem
منشور في 2017"…The proposed algorithm is two-phases: an initialization phase that generates an initial population of layouts through a sequence of mutation operations, and a reproduction phase that evolve the layouts generated in phase one through a sequence of genetic operations aiming at finding an optimal layout. …"
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conferenceObject -
371
Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
منشور في 2024"…This work aims to enhance the performance of the K-means algorithm by introducing a novel method for selecting the initial centroids, thereby minimizing randomness and reducing the number of iterations needed to reach optimal results. …"
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masterThesis -
372
Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms
منشور في 2007"…The method is based on a genetic algorithm that efficiently explores the testable design space and finds a sub-optimal test registers assignment for each k-test session. …"
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article -
373
Parallel scatter search algorithms for exam timetabling. (c2009)
منشور في 2009احصل على النص الكامل
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masterThesis -
374
An Anchor-Based Localization in Underwater Wireless Sensor Networks for Industrial Oil Pipeline Monitoring
منشور في 2022"…This estimated distance is further optimized to minimize the estimation error. A multilateralism procedure is used to estimate the optimal position of each TN. …"
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375
Adaptive temperature control of a reverse flow process by using reinforcement learning approach
منشور في 2024"…First, a policy iteration algorithm is introduced to learn the optimal solution of the associated linear-quadratic control problem online. …"
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376
Evolutionary algorithms, simulated annealing and tabu search: a comparative study
منشور في 2020"…Abstract Evolutionary algorithms, simulated annealing (SA), and tabu search (TS) are general iterative algorithms for combinatorial optimization. …"
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article -
377
Mobile Robot Navigation in Dynamic Environments Using an Improved RRT* Approach
منشور في 2018احصل على النص الكامل
doctoralThesis -
378
A new multiobjective evolutionary algorithm forenvironmental/economic power dispatch
منشور في 2001"…In this paper, a new multiobjective evolutionary algorithm for environmental/economic power dispatch (EED) optimization problem is presented. …"
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article -
379
Nonlinear model predictive control of Hammerstein and Wiener modelsusing genetic algorithms
منشور في 2001"…In this paper a novel approach for the implementation of nonlinear MPC is proposed using genetic algorithms (GAs). The proposed method formulates the MPC as an optimization problem and genetic algorithms are used in the optimization process. …"
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article -
380