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Optimization of Support Structures for Offshore Wind Turbines using Genetic Algorithm with Domain-Trimming (GADT)
Published 2017“…The powerful genetic algorithm optimization technique is augmented with an innovative “domain-trimming” modification. …”
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An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling
Published 2016“…This research is tackling the issue of complex resources scheduling in project management. …”
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Asymptotically faster algorithms for parameterized FACE COVER
Published 2005“…The parameterized complexity of the face cover prob- lem is considered. …”
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A bounded search tree algorithm for parameterized
Published 2008“…The parameterized complexity of the face cover problem is considered. …”
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A new multimodulus blind equalization algorithm
Published 2004“…A new algorithm is presented for the blind equalization of complex signals. …”
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Parallel genetic algorithm for disease-gene association
Published 2011“…In this work, we combine few successful strategies from the literature and present a parallel genetic algorithm for the Tag SNP Selection problem. Our results compared favorably with those of a recognized tag SNP selection algorithm using three different data sets from the HapMap project.…”
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Incremental & classical genetic algorithm. (c2001)
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29
Optimizing Document Classification: Unleashing the Power of Genetic Algorithms
Published 2023“…BERT generates a 768-dimensional vector for each record, which introduces significant time complexity during computation. Additionally, our proposed model optimizes the features using a genetic algorithm. …”
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Algorithms for Pixelwise Shape Deformations Preserving Digital Convexity
Published 2022“…In this article, we propose algorithms for pixelwise deformations of digital convex sets preserving their convexity using the combinatorics on words to identify digital convex sets via their boundary words, namely Lyndon and Christoffel words. …”
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A novel linear time corner detection algorithm
Published 2005“…We have presented a novel scheme for detecting corners of a planner object SRM05. The core of the algorithm is based upon slope analysis. The complexity of our algorithm is linear. …”
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A neural networks algorithm for data path synthesis
Published 2003“…The method formulates the allocation problem using the clique partitioning problem, an NP-complete problem, and handles multicycle functional units as well as structural pipelining. The algorithm has a running time complexity of O(1) for a circuit with n operations and c shared resources. …”
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Data reductions and combinatorial bounds for improved approximation algorithms
Published 2016“…Kernelization algorithms in the context of Parameterized Complexity are often based on a combination of data reduction rules and combinatorial insights. …”
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Multiobjective Evolutionary Algorithms for Electric Power Dispatch Problem
Published 2006“…Specifically, nondominated sorting genetic algorithm, niched Pareto genetic algorithm, and strength Pareto evolutionary algorithm (SPEA) have been developed and successfully applied to an environmental/economic electric power dispatch problem. …”
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Multiobjective evolutionary algorithms for electric power dispatch problem
Published 2006“…Specifically, nondominated sorting genetic algorithm, niched Pareto genetic algorithm, and strength Pareto evolutionary algorithm (SPEA) have been developed and successfully applied to an environmental/economic electric power dispatch problem. …”
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Intelligent Rapidly-Exploring Random Tree Star Algorithm
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Formal synthesis of VLSI layouts from algorithmic specifications
Published 2020“…Due to advances in VLSI technology, it is possible to implement complex digital systems on a single chip. However modeling such large and complex at structural level is tedious and error prone. …”
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Simultaneous stabilization of multimachine power systems viagenetic algorithms
Published 1999“…This paper demonstrates the use of genetic algorithms for the simultaneous stabilization of multimachine power systems over a wide range of operating conditions via single-setting power system stabilizers. …”
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Soft constraint satisfaction multimodulus blind equalization algorithms
Published 2004“…In this work, a new algorithm, based on the minimum-disturbance principle with relaxation, is presented for the blind equalization of complex signals. …”
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Metaheuristic Optimization Algorithms for Training Artificial Neural Networks
Published 2012“…Training neural networks is a complex task that is important for supervised learning. …”
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