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Matching heterogeneous ontologies with adaptive evolutionary algorithm
Published 2022-12-01“…Then, an Adaptive Evolutionary Algorithm (AEA) is proposed to effectively solve this problem. …”
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An Experimental Comparison of Self-Adaptive Differential Evolution Algorithms to Induce Oblique Decision Trees
Published 2024-11-01“…This study addresses the challenge of generating accurate and compact oblique decision trees using self-adaptive differential evolution algorithms. Although traditional decision tree induction methods create explainable models, they often fail to achieve optimal classification accuracy. …”
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Multi-objective Optimization for Hybrid Power System based on the Differential Evolution Algorithm
Published 2016-01-01“…Considering the disadvantages of energy management multi- objectives optimization for hybrid electric vehicle( HEV) which usually adopts weighted sum method,by using the Pareto optimum algorithm,based on non- dominated sorting method to deal with the fuel economy and emissions( CO,NOxand HC) evaluation indexes,then a new adaptive differential evolution algorithm is proposed and simulated which can be applied to multi- objective optimization of HEV energy management. …”
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4
Adaptive area location algorithm combining with packet lost rate and RSSI in wireless sensor networks
Published 2009-01-01Get full text
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Adaptive area location algorithm combining with packet lost rate and RSSI in wireless sensor networks
Published 2009-01-01Get full text
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A Modified Multiobjective Self-Adaptive Differential Evolution Algorithm and Its Application on Optimization Design of the Nuclear Power System
Published 2019-01-01“…A modified multiobjective self-adaptive differential evolution algorithm (MMOSADE) is presented in this paper to improve the accuracy of multiobjective optimization design in the nuclear power system. …”
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Analysis of Block Adaptive Type-II Progressive Hybrid Censoring with Weibull Distribution
Published 2024-12-01“…Consequently, reliability performance and differences across different testing facilities are analyzed. …”
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Collision Avoidance for Unmanned Surface Vehicles in Multi-Ship Encounters Based on Analytic Hierarchy Process–Adaptive Differential Evolution Algorithm
Published 2024-11-01“…This study proposes an adaptive differential evolution algorithm model integrated with the analytic hierarchy process (AHP-ADE). …”
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A study of adaptive population sizing in a self-adaptive differential evolution
Published 2025-09-01“…This work investigates the adaptation of population sizing of a self-adaptive differential evolution algorithm called Self-Adaptive Ensemble-based DE with Enhanced Population Sizing (SAEDE-EP). …”
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Personalized learning effect evaluation model for vocational education with cloud computing technology
Published 2025-12-01“…To achieve more efficient and accurate evaluation of learning effect, an adjustable variation genetic algorithm-backpropagation neural network (AGA-BP) is proposed. …”
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QPSO-Based Adaptive DNA Computing Algorithm
Published 2013-01-01“…However, DNA computing algorithm has some limitations in terms of convergence speed, adaptability, and effectiveness. …”
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Harmony Search Based Parameter Ensemble Adaptation for Differential Evolution
Published 2013-01-01“…In differential evolution (DE) algorithm, depending on the characteristics of the problem at hand and the available computational resources, different strategies combined with a different set of parameters may be effective. …”
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Spatiotemporal Fusion Algorithm Based on Multikernal Adaptive Network
Published 2025-01-01“…The experimental results demonstrate that MKAN excels in multiple evaluation metrics. Compared to optimal comparison algorithms, MKAN increases structural similarity by an average of 1.4% and reduces global dimensionless error by an average of 4.4%, fully demonstrating the rationality and superiority of its design. …”
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Flower fertilization optimization algorithm with application to adaptive controllers
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15
Nature-inspired adaptive differential evolution: A unified meta-heuristic framework for complex engineering optimisation and UAV path planning
Published 2025-09-01“…Drawing on the principles of biological evolution, collective behaviours within populations, and the self-regulation mechanisms of ecosystems, the proposed algorithm is termed Nature-Inspired Adaptive Differential Evolution (NIADE). …”
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Self-learning differential evolution algorithm for dynamic polycentric problems
Published 2015-07-01“…A novel self-learning differential evolution algorithm is proposed to solve dynamical multi-center optimization problems.The approach of re-evaluating some specific individuals is used to monitor environmental changes.The proposed self-learning operator guides the evolutionary group to a new environment,meanwhile maintains the stable topology structure of group to maintain the current evolutionary trend.A neighborhood search mechanism and a random immigrant mechanism are adapted to make a tradeoff between algorithmic convergence and population diversity.The experiment studies on a periodic dynamic function set suits are done,and the comparisons with peer algorithms show that the self-learning differential algorithm outperforms other algorithms in term of convergence and adaptability under dynamical environment.…”
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Adapted Single Scale Retinex Algorithm for Nighttime Image Enhancement
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Adaptive dynamic ϵ-simulated annealing algorithm for tumor immunotherapy
Published 2025-06-01“…The algorithm is applied to an improved tumor immunotherapy model (ITIT), formulated using ordinary differential equations (ODEs) based on established experimental and clinical studies. …”
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SWR: Smartness Provided by Simple, Efficient, and Self-Adaptive Algorithm
Published 2012-02-01“…In this paper, a novel routing algorithm, stateless weight routing (SWR), is proposed. …”
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Selective Feature Fusion Based Adaptive Image Segmentation Algorithm
Published 2018-01-01“…Specifically, the proposed method fuses selected features and applies the fused features to region growing segmentation algorithm. To get better segments on different images, we further develop an algorithm to change threshold adaptively for each image by measuring the size of the region. …”
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