New binary marine predators optimization algorithms for 0–1 knapsack problems
Author:
Publisher
Elsevier BV
Subject
General Engineering,General Computer Science
Reference54 articles.
1. Solving 0–1 knapsack problem by binary flower pollination algorithm;Abdel-Basset;Neural Computing and Applications,2019
2. Solving single and multi-objective 01 Knapsack Problem using Harmony Search Algorithm;Adamuthe;Journal of Scientific Research,2020
3. A Least-loss algorithm for a bi-objective one-dimensional cutting-stock problem;Alfares;International Journal of Applied Industrial Engineering (IJAIE),2019
4. A capital budgeting problem for preventing workplace mobbing by using analytic hierarchy process and fuzzy 0–1 bidimensional knapsack model;Bas;Expert Systems with Applications,2011
5. Surrogate relaxation of a fuzzy multidimensional 0–1 knapsack model by surrogate constraint normalization rules and a methodology for multi-attribute project portfolio selection;Bas;Engineering Applications of Artificial Intelligence,2012
Cited by 51 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A self-adaptive arithmetic optimization algorithm with hybrid search modes for 0–1 knapsack problem;Neural Computing and Applications;2024-08-23
2. Binary metaheuristic algorithms for 0–1 knapsack problems: Performance analysis, hybrid variants, and real-world application;Journal of King Saud University - Computer and Information Sciences;2024-07
3. Adaptive crossover-based marine predators algorithm for global optimization problems;Journal of Computational Design and Engineering;2024-06-27
4. A parallel compact Marine Predators Algorithm applied in time series prediction of Backpropagation neural network (BNN) and engineering optimization;Mathematics and Computers in Simulation;2024-06
5. Binary Electric Eel Foraging Optimization Algorithm for Solving 0-1 Knapsack Problems;2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS);2024-04-24
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3