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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
Published 2024Subjects: -
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Enhanced simulated evolution algorithm for digital circuit design yielding faster execution in a larger solution space
Published 2004“…Evolutionary algorithms have been studied by several researchers for the design of digital circuits. …”
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Performance Assessment of Foraging Algorithms vs. Evolutionary Algorithms
Published 2012“…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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An evolutionary algorithm for network topology design
Published 2001“…We present an approach based on a simulated evolution algorithm for design of a campus network topology. …”
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Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning
Published 2006“…These heuristics are based on Genetic Algorithms (GAs), Tabu Search (TS) and Simulated Evolution (SimE). …”
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Evolutionary algorithm for protein structure prediction
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Stochastic evolution algorithm for technology mapping
Published 1998“…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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An Extreme Point Algorithm For A Local Minimum Solution To The Quadratic Assignment Problem
Published 2020“…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
Published 2020“…Then an extreme point algorithm for QAP is proposed.…”
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A method for test scheduling using an evolutionary approach. (c2000)
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Adaptive bias simulated evolution algorithm for placement
Published 2001“…This parameter has major impact on the algorithm run-time and the quality of the solution subspace searched. …”
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A Review for the Genetic Algorithm and the Red Deer Algorithm Applications
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A Novel Essential Mutation Method for Evolutionary Algorithms
Published 2022“…The mutation is one of the operators that is used by many Evolutionary Algorithms (EA) to diversify the population (solutions). …”
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Evolutionary algorithms for VLSI multi-objective netlist partitioning
Published 2006“…These heuristics are based on Genetic Algorithms (GAs), Tabu Search (TS) and Simulated Evolution (SimE). …”
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An Evolutionary Algorithm for the Allocation Problem in High-Level Synthesis
Published 2005“…This paper presents an evolutionary algorithm to solve the datapath allocation problem in high-level synthesis. …”
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Multiobjective Evolutionary Algorithms for Electric Power Dispatch Problem
Published 2006“…Moreover, an approach based on fuzzy set theory is developed to extract one of the Pareto-optimal solutions as the best compromise one. These multiobjective evolutionary algorithms have been individually examined and applied to the standard IEEE 30-bus six-generator test system. …”
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Multiobjective evolutionary algorithms for electric power dispatch problem
Published 2006“…Moreover, an approach based on fuzzy set theory is developed to extract one of the Pareto-optimal solutions as the best compromise one. These multiobjective evolutionary algorithms have been individually examined and applied to the standard IEEE 30-bus six-generator test system. …”
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Evolutionary algorithm for predicting all-atom protein structure
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Review and analysis for the Red Deer Algorithm
Published 2021Subjects: “…Red Deer Algorithm…”
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