Stochastic evolution algorithm for technology mapping حسب Al-Mulhem, A.S.

"…SELF-Map is based on the Stochastic Evolution (SE) algorithm. The state space model of the problem is defined and suitable cost function which allows optimization for area, delay, or area-delay combinations is proposed. …"
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Adaptive bias simulated evolution algorithm for placement حسب Youssef, H.

"…This parameter has major impact on the algorithm run-time and the quality of the solution subspace searched. …"
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Fuzzy simulated evolution algorithm for VLSI cell placement حسب Sait, Sadiq M.

"…There has not been a consensus on how to accommodate all these (conflicting) requirements in the search for near optimal feasible solutions. In this paper, we present a fuzzy simulated evolution (FSE) algorithm to tackle this problem. …"
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Fuzzy simulated evolution algorithm for topology design of campusnetworks حسب Youssef, H.

"…Results show that on all test cases the simulated evolution algorithm exhibits more intelligent search of the solution subspace and was able to find better solutions than simulated annealing…"
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Fuzzy simulated evolution algorithm for VLSI cell placement. حسب Hussain, Ali Syed

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Enhanced simulated evolution algorithm for digital circuit design yielding faster execution in a larger solution space حسب Sait, Sadiq M.

"…Evolutionary algorithms have been studied by several researchers for the design of digital circuits. …"
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Fuzzy simulated evolution algorithm for multi-objectiveoptimization of VLSI placement حسب Sait, Sadiq M.

"…A fuzzy simulated evolution algorithm is presented for multi-objective minimization of VLSI cell placement problem. …"
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Cooperative Co-evolution using The Brain Storm Optimization Algorithm حسب El-Abd, Mohammed

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Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning حسب Sait, Sadiq M.

"…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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A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems حسب Bilal Khurshid (16715865)

الموضوعات:

Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm حسب Youssef, H.

"…In this paper, we present an approach based on Simulated Evolution algorithm for the design of SEN topology. …"
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Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm حسب Youssef, H.

"…In this paper, we present an approach based on Simulated Evolution algorithm for the design of SEN topology. …"
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An Extreme Point Algorithm For A Local Minimum Solution To The Quadratic Assignment Problem حسب Fedjki, C.A.

"…Then an extreme point algorithm for QAP is proposed. (C) 2003 Elsevier B.V. …"
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An Extreme Point Algorithm For A Local Minimum Solution To The Quadratic Assignment Problem حسب Fedjki, C.A.

"…Then an extreme point algorithm for QAP is proposed.…"
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A Novel Two-Level Clustering-Based Differential Evolution Algorithm for Training Neural Networks حسب El-Abd, Mohammed

"…To address these challenges, we introduce a novel two-level clustering-based differential evolution approach, C2L-DE, to identify the initial seed for a gradient-based algorithm. …"
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Performance Assessment of Foraging Algorithms vs. Evolutionary Algorithms حسب El-Abd, Mohammed

"…This work provides a complete performance assessment of the four mentioned algorithms in comparison to the widely known differential evolution (DE), genetic algorithms (GAs), harmony search (HS), and particle swarm optimization (PSO) algorithms when applied to the problem of unconstrained nonlinear continuous function optimization. …"
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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data حسب Behrouz Ahadzadeh (19757022)

"…To overcome these challenges, a new FS algorithm named Uniform-solution-driven Binary Feature Selection (UniBFS) has been developed in this study. …"

Salp swarm algorithm: survey, analysis, and new applications حسب Abualigah, Laith

"…The behavior of the species when traveling and foraging in the waters is the main source of SSA and MSSA. These two algorithms are put to test on a variety of mathematical optimization functions to see how they behave when it comes to finding the best solutions to optimization problems. …"
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Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation حسب Abualigah, Laith

"…This study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray-scale multi-level thresholding, called RSA-SSA. …"
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Incremental Genetic Algorithm حسب Mansour, Nashat

"…Classical Genetic Algorithms (CGA) are known to find good sub-optimal solutions for complex and intractable optimization problems. …"
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