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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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Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning
Published 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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Simulated evolution for timing and low power VLSI standard cell placement
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CNN and HEVC Video Coding Features for Static Video Summarization
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Parallelization of Stochastic Evolution
Published 2006“…In this work, the development of parallel algorithms for Stochastic Evolution, applied on multi-objective VLSI cell-placement problem is presented. …”
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Bird’s Eye View feature selection for high-dimensional data
Published 2023“…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …”
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Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement
Published 2004“…In this work, a fast hybrid algorithm is designed to address this problem. The algorithm employs simulated evolution (SE), an iterative search heuristic that comprises three steps: evaluation, selection and allocation. …”
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A simulated evolution approach to task-matching and scheduling in heterogeneous computing environments
Published 2020“…The performance of SE is compared with a genetic algorithm approach for the same problem with respect to the quality of solutions generated, and timing requirements of the algorithms. r 2003 Elsevier Science Ltd. …”
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Nonlinear analysis of shell structures using image processing and machine learning
Published 2023“…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …”
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Automatic Video Summarization Using HEVC and CNN Features
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Allocating data to distributed-memory multiprocessors by genetic algorithms
Published 2016“…We present three genetic algorithms (GAs) for allocating irregular data sets to multiprocessors. …”
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Genetic and heuristic algorithms for regrouping service sites. (c2000)
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Physical optimization algorithms for mapping data to distributed-memory multiprocessors
Published 1992“…However, they are slower than previous algorithms. Further, the comparison results show that the three algorithms are suitable for different requirements of mapping time and quality. …”
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Parallel physical optimization algorithms for allocating data to multicomputer nodes
Published 1994“…The parallel genetic algorithm (PGA) is based on a natural model of evolution. …”
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