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: Evolutionary Computation in Combinatorial Optimization; 12th European Confer Jin-Kao Hao,Martin Middendorf Conference proceedings 2012 Spri

[復制鏈接]
樓主: deferential
51#
發(fā)表于 2025-3-30 12:01:29 | 只看該作者
Intensification/Diversification-Driven ILS for a Graph Coloring Problem,This paper presents an extension of the ILS algorithm, called ., by introducing new local search devices that enforce an efficient tradeoff of intensification and diversification. Experiments performed on the DIMACS benchmarks show that our method is competitive with the best coloring algorithms.
52#
發(fā)表于 2025-3-30 16:07:15 | 只看該作者
53#
發(fā)表于 2025-3-30 19:37:29 | 只看該作者
Europe and the End of the Age of Innocencerine terminals. In this context, we propose a heuristic to solve a continuous case of the BAP. This heuristic is based on the application of the Clustering Search (CS) method with the Simulated Annealing (SA) metaheuristic. The results obtained by CS are compared to other methods found in the literature and its competitiveness is verified.
54#
發(fā)表于 2025-3-31 00:26:42 | 只看該作者
An ILS-Based Metaheuristic for the Stacker Crane Problem,ractical problem of operating a crane. Here we present a formulation and a lower bound for this problem and propose a metaheuristic algorithm based on the combination of a Multi-start and an Iterated Local Search procedures. Computational results on a large set of instances are presented.
55#
發(fā)表于 2025-3-31 02:58:23 | 只看該作者
Clustering Search Heuristic for Solving a Continuous Berth Allocation Problem,rine terminals. In this context, we propose a heuristic to solve a continuous case of the BAP. This heuristic is based on the application of the Clustering Search (CS) method with the Simulated Annealing (SA) metaheuristic. The results obtained by CS are compared to other methods found in the literature and its competitiveness is verified.
56#
發(fā)表于 2025-3-31 07:13:11 | 只看該作者
https://doi.org/10.1007/978-3-642-29124-1evolutionary algorithm; genetic algorithm; hyper-heuristic; multi-objective optimization; stochastic opt
57#
發(fā)表于 2025-3-31 12:16:02 | 只看該作者
58#
發(fā)表于 2025-3-31 13:28:40 | 只看該作者
59#
發(fā)表于 2025-3-31 20:23:50 | 只看該作者
60#
發(fā)表于 2025-4-1 01:18:59 | 只看該作者
 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 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 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, 2025-10-26 22:04
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 返回頂部 返回列表
牡丹江市| 利津县| 庆城县| 新宁县| 三门县| 陵水| 公主岭市| 灯塔市| 隆德县| 将乐县| 绵阳市| 汝阳县| 绥阳县| 喀喇| 饶河县| 长垣县| 天等县| 独山县| 新干县| 建昌县| 新平| 雅江县| 淮南市| 铁岭市| 河西区| 伊川县| 乐业县| 西乡县| 敦煌市| 文成县| 梅州市| 南郑县| 泸定县| 伊川县| 海宁市| 贡觉县| 从江县| 柘城县| 南汇区| 涿州市| 泗洪县|