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检索条件"主题词=Multi-objective Problem"
172 条 记 录,以下是1-10 订阅
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Robust optimization algorithms for multi-objective knapsack problem  10
Robust optimization algorithms for multi-objective knapsack ...
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10th International Symposium on Computing and Networking (CANDAR)
作者: Miyamoto, Takuya Fujiwara, Akihiro Kyushu Inst Technol Grad Sch Comp Sci & Syst Engn Iizuka Fukuoka 8208502 Japan
The solution obtained using a simple optimization technique is affected by changes in variables in the real world due to errors and other factors, and thus the predicted optimality of the solution may not be guarantee... 详细信息
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A New Approach to Solve Fully Fuzzy multi-objective Transportation problem
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FUZZY INFORMATION AND ENGINEERING 2022年 第4期14卷 456-467页
作者: Niksirat, Malihe Birjand Univ Technol Comp Sci Birjand Iran
The transportation problem is the problem of transferring goods from several sources or producers to multiple destinations or consumers in a cost-effective way, which is one of the most important problems in the suppl... 详细信息
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Matrix Method for Non-Dominated Sorting and Population Selection for Next Generation in multi-objective problem Solution  8
Matrix Method for Non-Dominated Sorting and Population Selec...
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8th IEEE International Conference on Cloud Computing, Data Science and Engineering (Confluence) / Global Technology, Innovation and Enterpreneurship Summit
作者: Rajpoot, Prince Dwivedi, Pragya Motilal Nehru Natl Inst Technol Allahabad Comp Sci & Engn Allahabad Uttar Pradesh India
The multi-objective problem solution methods consider two or more conflicting objectives simultaneously. The method selects the initial population and rectifies it for generating better solution using different operat... 详细信息
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Design and Analysis of multi-objective Optimization problem Using Evolutionary Algorithms.
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Procedia Computer Science 2020年 172卷 896-899页
作者: S. Jose C. Vijayalakshmi Mathematics Division School of Advanced Sciences Vellore Insistitute of Technology(Chennai) Department of Statistics & Applied Mathematics Central University of TamilNadu Thiruvarur
In this paper a major amount of work has been listed regarding multi-objective optimization problem using evolutionary algorithms. From time immemorial optimization have been required in every industry for improvement... 详细信息
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Integrated approach for dynamic economic/emission dispatch problem: multi-objective moth flame optimizer with transmission loss prediction using cascaded forward neural network
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ELECTRICAL ENGINEERING 2024年 第3期106卷 3495-3528页
作者: Nalini, Nagulsamy Kumar, Chandrasekaran Vijayarajan, Periyasamy Chidambararaj, Natarajan M Kumarasamy Coll Engn Dept Elect & Elect Engn Karur Tamil Nadu India Karpagam Coll Engn Dept Elect & Elect Engn Coimbatore Tamil Nadu India Univ Coll Engn Dept Elect & Elect Engn BIT Campus Tiruchirappalli Tamil Nadu India St Josephs Coll Engn Dept Elect & Elect Engn Chennai Tamil Nadu India
This paper presents improved single- and multi-objective algorithms based on the original moth flame optimizer (MFO) to tackle the dynamic economic emission dispatch (DEED) problem that affects power systems operation... 详细信息
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Weighted Linear Fractional Programming for Possibilistic multi-objective problem  4
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4th INNS Symposia on Computational Intelligence in Information Systems (INNS-CIIS)
作者: Arbaiy, Nureize Univ Tun Hussein Onn Malaysia Batu Pahat 86400 Malaysia
The assessment of the weights of objective function plays an important role in a multi-objective process. This paper discusses a weighting method for linear fractional programming to solve possibilistic programming of... 详细信息
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A two-phase multi-objective metaheuristic for a green UAV grid routing problem
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OPTIMIZATION LETTERS 2023年 第9期17卷 2233-2256页
作者: Marques Jr, Elias L. Coelho, Vitor N. Coelho, Igor M. Ochi, Luiz Satoru Maculan, Nelson Mladenovic, Nenad Coelho, Bruno N. Univ Fed Fluminense Inst Comp Sci Niteroi Brazil OptBlocks Av Joao Pinheiro274 Room 201 BR-30130186 Belo Horizonte MG Brazil Univ Fed Rio De Janeiro Rio De Janeiro Brazil Khalifa Univ Abu Dhabi U Arab Emirates Univ Fed Sao Joao Del Rei REDEMAT Sao Joao Del Rei Brazil
This paper deals with Unmanned Aerial Vehicle (UAV) routing in dynamic grid scenarios with limited battery autonomy and multiple charging stations. Inspired by a multi-criteria view of real systems, we consider differ... 详细信息
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Dynamic Programming Approach to Solve Real-World Application of multi-objective Unbounded Knapsack problem  1st
Dynamic Programming Approach to Solve Real-World Application...
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1st International Conference on Intelligent Systems and Applications
作者: Khandekar, Aayush P. Nargundkar, Aniket Vishwakarma Inst Technol Pune 411037 Maharashtra India Symbiosis Int Symbiosis Inst Technol Pune 412115 Maharashtra India
Knapsack problem is classified as a combinatorial optimization problem with the consideration of the optimal object being a part of the predefined set of finite objects allowed to be placed in the knapsack. The unboun... 详细信息
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Solving multi-objective Modified Distributed Parallel Machine and Assembly Scheduling problem (MDPMASP) with eligibility constraints using metaheuristics
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PRODUCTION AND MANUFACTURING RESEARCH-AN OPEN ACCESS JOURNAL 2022年 第1期10卷 198-225页
作者: Amallynda, Ikhlasul Santosa, Budi Univ Muhammadiyah Malang Dept Ind Engn Malang Indonesia Inst Teknol Sepuluh Nopember Dept Ind Engn Surabaya Indonesia
We present a new generalization and metaheuristics for the distributed parallel machine and assembly scheduling problem (DPMASP), namely MDPMASP with eligibility constraints. There is a set of unrelated factories or p... 详细信息
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A depth-based heuristic to solve the multi-objective influence spread problem using particle swarm optimization
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OPSEARCH 2023年 第3期60卷 1267-1285页
作者: Riquelme, Fabian Munoz, Francisco Olivares, Rodrigo Univ Valparaiso Valparaiso Chile
The influence spread in a social network is an iterative process that can take several steps. It begins with an activation seed and finishes when the current activation cannot influence more actors. The multi-objectiv... 详细信息
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