找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Advances in Swarm Intelligence, Part II; Second International Ying Tan,Yuhui Shi,Guoyin Wang Conference proceedings 2011 Springer-Verlag Gm

[復(fù)制鏈接]
樓主: ACORN
11#
發(fā)表于 2025-3-23 10:50:28 | 只看該作者
12#
發(fā)表于 2025-3-23 16:10:41 | 只看該作者
A Modified Multi-objective Binary Particle Swarm Optimization Algorithm of them can be used to tackle binary-coded problems. In this paper, a novel modified multi-objective binary PSO (MMBPSO) algorithm is proposed for the better multi-objective optimization performance. A modified updating strategy is developed which is simpler and easier to implement compared with st
13#
發(fā)表于 2025-3-23 20:44:57 | 只看該作者
Improved Multiobjective Particle Swarm Optimization for Environmental/Economic Dispatch Problem in P. Population space evolves with the improved particle swarm optimization strategy. Three kinds of knowledge in belief space, named situational, normative and history knowledge are redefined respectively to accordance with the solution of multi-objective problem. The results of standard test systems
14#
發(fā)表于 2025-3-24 01:52:24 | 只看該作者
15#
發(fā)表于 2025-3-24 03:01:55 | 只看該作者
16#
發(fā)表于 2025-3-24 10:07:14 | 只看該作者
A Multi-Objective Binary Harmony Search Algorithm the research of multi-objectives HS just begins and no work on binary multi-objectives HS has been reported. This paper presents a multi-objective binary harmony search algorithm (MBHS) for tackling binary-coded multi-objective optimization problems. A modified pitch adjustment operator is used to
17#
發(fā)表于 2025-3-24 10:44:12 | 只看該作者
A Self-organized Approach to Collaborative Handling of Multi-robot Systemson planning graph (AMP-graph) is described for individual movement representations. An individual autonomous motion rule (IAM-rule) based on “free-loose” and “well-distributed load-bearing” preferences is presented. By establishing the simple and effective individual rule model, an ideal handling fo
18#
發(fā)表于 2025-3-24 15:20:15 | 只看該作者
An Enhanced Formation of Multi-robot Based on A* Algorithm for Data Relay Transmissionsor and compass sensor to execute the tasks of distance measurement, communication and obtaining moving direction. Since there exists data disturbance from Nanotron sensor when there is an obstacle between two robots. Therefore, we embed path planning algorithm information control. The leader robot
19#
發(fā)表于 2025-3-24 21:43:25 | 只看該作者
WPAN Communication Distance Expansion Method Based on Multi-robot Cooperation Navigationntion and interest in industry and academia. Furthermore, the development of intelligent robots is strongly promoted as a strategic industry. To date, most of the practical and commercial service robots are controlled remotely. The most important technical issue of remote control is wireless communi
20#
發(fā)表于 2025-3-25 00:14:50 | 只看該作者
Relative State Modeling Based Distributed Receding Horizon Formation Control of Multiple Robot Systemost all receding horizon formation control (RHFC) algorithms. One of them is the huge computational burden due to the complicated nonlinear dynamical optimization, and the other is that most RHFC algorithms use the absolute states directly while relative states between two robots are more accurate
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-18 06:00
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
双柏县| 新平| 达拉特旗| 都兰县| 宁德市| 乌兰浩特市| 景泰县| 华坪县| 长汀县| 嘉峪关市| 宣威市| 嫩江县| 东方市| 郯城县| 千阳县| 霍林郭勒市| 延吉市| 淳化县| 交城县| 淮滨县| 保山市| 栾城县| 呼玛县| 金堂县| 广河县| 秦皇岛市| 安阳县| 平远县| 资阳市| 湟中县| 麦盖提县| 宁晋县| 霍州市| 永福县| 嘉义县| 长白| 瑞丽市| 宁明县| 华容县| 郑州市| 分宜县|