找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Swarm Intelligence; 7th International Co Marco Dorigo,Mauro Birattari,Thomas Stützle Conference proceedings 2010 Springer-Verlag Berlin Hei

[復(fù)制鏈接]
樓主: Opiate
31#
發(fā)表于 2025-3-26 21:30:32 | 只看該作者
32#
發(fā)表于 2025-3-27 04:30:48 | 只看該作者
33#
發(fā)表于 2025-3-27 08:51:43 | 只看該作者
Antbots: A Feasible Visual Emulation of Pheromone Trails for Swarm Robotsient pathfinding between nest and potential food sources. Experimental results show that our trail and sun compass add-on boards are accurate enough to allow a single robot to lay and follow a trail repeatedly.
34#
發(fā)表于 2025-3-27 09:45:58 | 只看該作者
35#
發(fā)表于 2025-3-27 15:40:06 | 只看該作者
A Modified Particle Swarm Optimization Algorithm for the Best Low Multilinear Rank Approximation of e best low multilinear rank approximation of a given tensor. This problem has been formulated as an optimization problem over the Grassmann manifold [14] and it has been shown that the objective function presents multiple minima [15]. In order to investigate the landscape of this cost function, we p
36#
發(fā)表于 2025-3-27 21:23:40 | 只看該作者
A Robotic Validation of the Attractive Field Model: An Inter-disciplinary Model of Self-regulatory S using a set of previously published generic rules for division of labour derived from the observation of ant, human and robotic social systems. These bottom-up rules describe the phenomenon of self-regulated division of labour in terms of attractive fields between robots and tasks. The concrete for
37#
發(fā)表于 2025-3-27 23:48:01 | 只看該作者
38#
發(fā)表于 2025-3-28 02:30:03 | 只看該作者
An Alternative ACO, Algorithm for Continuous Optimization Problemsn problems. Although ACO practitioners have a long tradition in solving combinatorial optimization problems, many other researchers have recently developed a variety of ACO algorithms for dealing with continuous optimization problems. One of these algorithms is the so-called ACO., which is one of th
39#
發(fā)表于 2025-3-28 08:05:09 | 只看該作者
An Efficient Optimization Method for Revealing Local Optima of Projection Pursuit Indicesstructures, such as possible groups or outliers, by optimizing a function called projection index. To determine these possible interesting structures, it is necessary to choose an optimization method capable to find not only the global optimum of the projection index but also the local optima suscep
40#
發(fā)表于 2025-3-28 10:59:20 | 只看該作者
Ant Colony Optimisation for Ligand Dockinghe approach treats the placement of a ligand molecule in the protein’s binding site as a discrete assignment problem and a geometric point fitting procedure generates protein-ligand complex conformations from this representation. As in PLANTS [5,6], we combine this approach with a local search in th
 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(ài)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(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-29 06:06
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
永胜县| 白城市| 德格县| 山阴县| 长子县| 民丰县| 苍山县| 灵山县| 宁明县| 汪清县| 虹口区| 吉安县| 曲沃县| 绵竹市| 台北市| 阿克陶县| 永登县| 襄汾县| 许昌县| 莲花县| 辛集市| 鞍山市| 普洱| 广河县| 蒲江县| 叶城县| 阳山县| 德安县| 宁波市| 广安市| 库车县| 武强县| 清新县| 遵义市| 台江县| 石柱| 北安市| 永丰县| 洪江市| 嘉禾县| 射洪县|