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Optimizing makespan and resource utilization in cloud computing environment via evolutionary scheduling approach.
Published 2024-01-01“…Previous research found that metaheuristics can dramatically increase CC performance if deployed as scheduling algorithms. Therefore, this study develops an evolutionary algorithm-based scheduling approach for makespan optimization and resource utilization (EASA-MORU) technique in the cloud environment. …”
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Efficient Pruning of Detection Transformer in Remote Sensing Using Ant Colony Evolutionary Pruning
Published 2024-12-01“…Additionally, we design three different sparse operators based on the structural characteristics of DETR-like neural networks. …”
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10 MW FOWT Semi-Submersible Multi-Objective Optimization: A Comparative Study of PSO, SA, and ACO
Published 2024-11-01Get full text
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Optimizing Long-Term Bank Financial Products Portfolio Problems with a Multiobjective Evolutionary Approach
Published 2020-01-01“…Experiment results show that the presented algorithm can efficiently find trade-off solutions. …”
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Improving Search Accuracy in Large-Scale Biased Multiobjective Optimization Through Local Search
Published 2025-06-01“…To address this issue, we propose a three-particle-based local search method (TPS) for multiobjective evolutionary algorithms (MOEAs). The main concept is to use three particles to maintain three equidistant values of a decision variable and gradually approach the local optimal value by adaptively adjusting their differences. …”
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Genetic clustering algorithm
Published 2020-01-01“…The used technology of evolutionary modeling is rather expanded in the mentioned algorithm. …”
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Dynamic Economic Dispatch of Power System Network Having Thermal Units and Electric Vehicles using IGWO
Published 2021-12-01Get full text
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MILP Modeling and Optimization of Multi-Objective Three-Stage Flexible Job Shop Scheduling Problem With Assembly and AGV Transportation
Published 2025-01-01“…FJSP-T-A is NP-hard, and an efficient multi-population co-evolutionary algorithm (MPCEA) is proposed to efficiently solve large-scale instances. …”
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Maximizing Nash Social Welfare Based on Greedy Algorithm and Estimation of Distribution Algorithm
Published 2024-10-01“…First, a general greedy algorithm (GA) capable of addressing the Nash social welfare problem for both agents with identical and differing valuations was presented. …”
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Toward aitiopoietic cognition: bridging the evolutionary divide between biological and machine-learned causal systems
Published 2025-07-01“…Through analyzing convergence pathways including evolutionary algorithms, material intelligence, homeostatic regulation, and multi-scale integration, we propose a research program aimed at bridging this evolutionary divide. …”
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Systematic Initialization Approaches for Portfolio Optimization Problems
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Predicting the Magnitude of Earthquakes Using Grammatical Evolution
Published 2025-07-01Get full text
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Neuroevolutionary reinforcing learning of neural networks
Published 2022-01-01Get full text
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Residential Building Renovation Considering Energy, Carbon Emissions, and Cost: An Approach Integrating Machine Learning and Evolutionary Generation
Published 2025-02-01“…This study proposes an integrated artificial intelligence framework to facilitate multi-criteria energy renovation decision making by combining a surrogate-based machine learning (ML) model and an evolutionary generative algorithm to efficiently and accurately identify optimal renovation strategies. …”
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Evolutionary analysis of slope direction deformation in the Gaojiawan landslide based on time-series InSAR and Kalman filtering.
Published 2024-01-01“…To verify the feasibility of the algorithm, this paper selects the Gaojiawan landslide as a typical study area. …”
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The path-label reconciliation (PLR) dissimilarity measure for gene trees
Published 2025-08-01Get full text
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