找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Bio-Inspired Computing: Theories and Applications; 16th International C Linqiang Pan,Zhihua Cui,Lianghao Li Conference proceedings 2022 Spr

[复制链接]
楼主: 拖累
发表于 2025-3-23 10:45:07 | 显示全部楼层
A Differential Evolution Algorithm for Multi-objective Mixed-Variable Optimization Problemsmultiple complex functions, constraints and mixed types of decision variables. Compared with single objective mixed-variable optimization problems (MVOPs), the decision space of MO-MVOPs presents more complex spatial distribution features. These features of MO-MVOPs make solving such problems face a
发表于 2025-3-23 17:46:10 | 显示全部楼层
发表于 2025-3-23 20:33:33 | 显示全部楼层
Adaptive Multi-strategy Learning Particle Swarm Optimization with Evolutionary State Estimation mode is relatively fixed, and it is easy to be trapped in the local optimum. Most variants of PSO use only one learning strategy in the entire evolution process, which may affect their performance when different learning strategies are required under different evolution states. In order to deal wit
发表于 2025-3-24 01:40:05 | 显示全部楼层
发表于 2025-3-24 05:08:10 | 显示全部楼层
Adaptive Differential Privacy Budget Allocation Algorithm Based on Random Foresty protection method is to add differential privacy in the process of data mining, but the unreasonable privacy budget allocation leads to unsatisfactory classification results. To solve this problem, an adaptive differential privacy budget allocation algorithm RFDPP-weight based on random forest is
发表于 2025-3-24 06:59:22 | 显示全部楼层
A Node Influence Based Memetic Algorithm for Community Detection in Complex Networksion treats finding the community structure as an optimization problem, which has received great attentions in a variety of fields these years. Several community detection methods have been proposed. To make an approach of detecting the community structure in a more efficient way, a node influence ba
发表于 2025-3-24 13:14:39 | 显示全部楼层
发表于 2025-3-24 18:15:00 | 显示全部楼层
A Hybrid Multi-objective Coevolutionary Approach for the Multi-user Agile Earth Observation Satellitagement. In this study, a MU-AEOSSP is addressed to tackle the failure rate and the fairness of different users simultaneously. A hybrid multi-objective coevolutionary approach (HMOCA) is then proposed to handle the complicate constraints and to optimize the objectives. HMOCA evolves two populations
发表于 2025-3-24 19:11:32 | 显示全部楼层
Conference proceedings 2022: Theories and Applications, BIC-TA 2021, held in Taiyuan, China, in December 2021. .The 67 papers presented were thoroughly reviewed and selected from 211 submissions. The papers are organized in the following topical sections: ​evolutionary computation and swarm intelligence; DNA and molecular computing; ​machine learning and computer vision..
发表于 2025-3-25 02:41:24 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-6-29 05:18
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表