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Stochastic evolution algorithm for technology mapping
Published 1998“…SELF-Map is based on the Stochastic Evolution (SE) algorithm. …”
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Fuzzy simulated evolution algorithm for topology design of campusnetworks
Published 2000“…We present an approach based on the simulated evolution algorithm for the design of campus network topology. …”
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Fuzzy simulated evolution algorithm for multi-objectiveoptimization of VLSI placement
Published 1999“…A fuzzy simulated evolution algorithm is presented for multi-objective minimization of VLSI cell placement problem. …”
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Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm
Published 2020“…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
Published 2020“…In this paper, we present an approach based on Simulated Evolution algorithm for the design of SEN topology. …”
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A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems
Published 2024“…To address the complexity of this NP-hard problem, the HES-IG algorithm combines evolution strategies (ES) and iterated greedy (IG) algorithm, as hybridizing algorithms helps different algorithms mitigate their weaknesses and leverage their respective strengths. …”
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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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CNN and HEVC Video Coding Features for Static Video Summarization
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Predicting Android Malware Using Evolution Networks
Published 2025“…This issue requires the development of efficient solutions in order to keep up with the continuous evolution of malware. With this aim, we introduce evolutionary networks, and particularly the Susceptible-Infectious-Susceptible (SIS) model, as a way to address the limitations of previous studies which are typically based on traditional machine learning models. …”
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Differential Evolution and Its Applications in Image Processing Problems: A Comprehensive Review
Published 2022“…Differential evolution (DE) is one of the highly acknowledged population-based optimization algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems. …”
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FAST FUZZY FORCE-DIRECTED/SIMULATED EVOLUTION METAHEURISTIC FOR MULTIOBJECTIVE VLSI CELL PLACEMENT
Published 2006“…SE is hybridized with force directed algorithm to speed-up the search. The proposed schemes are compared with previously presented SE based heuristics. …”
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Automatic Video Summarization Using HEVC and CNN Features
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Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning
Published 2006“…In this paper, we engineer three iterative heuristics for the optimization of VLSI netlist bi-Partitioning. These heuristics are based on Genetic Algorithms (GAs), Tabu Search (TS) and Simulated Evolution (SimE). …”
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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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