Suchergebnisse - "multifactorial evolution algorithm"

A Three-Layered Multifactorial Evolutionary Algorithm with Parallelization for Large-Scale Engraving Path Planning

Autoren: Antian Liang Hanshi Yang Liming Sun et al.

Quelle: Electronics; Volume 11; Issue 11; Pages: 1712

Schlagwörter: 0209 industrial biotechnology, laser engraving, three-layer algorithm, parallel multifactorial evolution algorithm, genetic algorithm, trajectory optimization, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Dateibeschreibung: application/pdf

A modified multifactorial differential evolution algorithm with optima-based transformation.

Autoren: Shi, Lingyi Hu, Zhongbo Su, Qinghua et al.

Quelle: Applied Intelligence; Feb2023, Vol. 53 Issue 3, p2989-3001, 13p

Schlagwörter: DIFFERENTIAL evolution, ASSORTATIVE mating, EVOLUTIONARY computation, ALGORITHMS, BENCHMARK problems (Computer science), MATHEMATICAL optimization, STATISTICAL sampling

面向铜配料优化的改进多因子差分进化算法. (Chinese)

Alternate Title: Improved multifactorial differential evolution algorithm for copper ingredient optimization. (English)

Autoren: 张雪瑞 韩中洋 赵 珺 et al.

Quelle: Control Theory & Applications / Kongzhi Lilun Yu Yinyong; Dec2025, Vol. 42 Issue 12, p2557-2568, 12p

Schlagwörter: DIFFERENTIAL evolution, ALGORITHMS, INDUSTRIAL efficiency, MATHEMATICAL optimization, COPPER compounds, RESOURCE allocation, MUTATIONS (Algebra)

Multitask Augmented Random Search in deep reinforcement learning.

Autoren: Thanh, Le Tien Thang, Ta Bao Cuong, Le Van et al.

Quelle: Applied Soft Computing. Jul2024, Vol. 160, pN.PAG-N.PAG. 1p.

Schlagwörter: Deep reinforcement learning, Reinforcement learning, Optimization algorithms, Computer multitasking, Evolutionary algorithms, Algorithms

Multitask Particle Swarm Optimization Algorithm Based on Dual Spatial Similarity.

Autoren: Bian, Xiaotong Chen, Debao Zou, Feng et al.

Quelle: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ); Mar2024, Vol. 49 Issue 3, p4061-4079, 19p

Schlagwörter: PARTICLE swarm optimization, OPTIMIZATION algorithms

A parametric segmented multifactorial evolutionary algorithm based on a three-phase analysis.

Autoren: Chai, Peihua Cao, Langcai Xu, Ridong et al.

Quelle: Applied Intelligence; Nov2023, Vol. 53 Issue 21, p25605-25625, 21p

Schlagwörter: EVOLUTIONARY algorithms, TRAVELING salesman problem, COMPUTER multitasking, COMBINATORIAL optimization, BENCHMARK problems (Computer science), SEARCH algorithms, RESEARCH personnel

Multipopulation-based multi-tasking evolutionary algorithm.

Autoren: Li, Xiaoyu Wang, Lei Jiang, Qiaoyong

Quelle: Applied Intelligence; Feb2023, Vol. 53 Issue 4, p4624-4647, 24p

Schlagwörter: KNOWLEDGE transfer, EVOLUTIONARY algorithms, IMMIGRATION enforcement, RESOURCE allocation, TRANSFER functions

Multi-objectives design optimization based on multi-objectives Gaussian processes for System-in-Package

Autoren: Weijing Dai Zhenkun Wang Ke Xue

Quelle: 2021 IEEE 71st Electronic Components and Technology Conference (ECTC). :2151-2157

Schlagwörter: 0103 physical sciences, 02 engineering and technology, 0210 nano-technology, 01 natural sciences

System-in-package design using multi-task memetic learning and optimization.

Autoren: Dai, Weijing Wang, Zhenkun Xue, Ke

Quelle: Memetic Computing; Mar2022, Vol. 14 Issue 1, p45-59, 15p

An efficient strategy for using multifactorial optimization to solve the clustered shortest path tree problem.

Autoren: Thanh, Pham Dinh Binh, Huynh Thi Thanh Trung, Tran Ba

Quelle: Applied Intelligence; Apr2020, Vol. 50 Issue 4, p1233-1258, 26p

Schlagwörter: EVOLUTIONARY algorithms, HEURISTIC algorithms, COMPLETE graphs, SPARSE graphs, SCIENTIFIC community