Multi-Objective Particle Swarm Optimization Based on Fuzzy Optimality [PDF]
In order to overcome the limitations of the Pareto optimality in solving multi-objective optimization problems, a new optimality definition, fuzzy optimality is proposed, which considered both of the numbers of improved objectives and the extent of the ...
Yongpeng Shen, Gaorui Ge
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A cloud computing multi-objective task scheduling optimization based on fuzzy self-defense algorithm is proposed. Select the shortest time, the degree of resource load balance and the cost of multi-objective task completion as the goal of cloud computing
Xueying Guo
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Multi-objective evolutionary computation and fuzzy optimization
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JOSÉ M Cadenas, JOSÉ Luis Verdegay
exaly +3 more sources
Fuzzy granulation-based wind speed prediction with multi-objective optimization [PDF]
Accurate wind power forecasting is essential for enhancing the integration of renewable energy sources, thereby supporting global decarbonization initiatives.
Chi Zhang, Jianzhou Wang, Zhiwu Li
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A novel mathematical approach for fuzzy multi-period multi-objective portfolio optimization problem under uncertain environment and practical constraints [PDF]
Investment Portfolio Optimization (IPO) is one of the most important problems in the financial area. Also, one of the most important features of financial markets is their embedded uncertainty.
Pejman Peykani +4 more
doaj +1 more source
Pentapartitioned Neutrosophic Fuzzy Optimization Method for Multi-objective Reliability Optimization Problem [PDF]
Fuzzy logic is an important mathematical tool that deals with uncertainty and imprecision in decision-making processes. The prevalent frameworks, known as neutrosophic sets, study the connection of neutralities with various ideational spectra in addition
Swarup Jana, Sahidul Islam
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For the multi-objective flow shop scheduling problem in the supply chain environment, this paper proposes the Fuzzy Relevance Entropy method (FREM) to solve the adaptive value assignment problem in the multi-objective optimization process of the supply ...
Zhe Luo +4 more
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Fuzzy inference‐based control and decision system for precise aeration of sewage treatment process
The sewage treatment systems manage to reduce pollutants of wastewater to make it reach some requirement. The core of it is to effectively control and determine intermediate aeration amount, which is always challenging.
Wenru Zeng +6 more
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Uncertain and multi-objective programming models for crop planting structure optimization [PDF]
Crop planting structure optimization is a significant way to increase agricultural economic benefits and improve agricultural water management. The complexities of fluctuating stream conditions, varying economic profits, and uncertainties and errors in ...
Mo LI,Ping GUO,Liudong ZHANG,Chenglong ZHANG
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Fuzzy Clustering Optimal k Selection Method Based on Multi-objective Optimization [PDF]
Abstract Because of the complexity of data sets from the real world, it is difficult to classify the data sets clearly and effectively, thus we prefer to adopt fuzzy clustering approaches to analyze the data sets. However, due to the variety of fuzzy clustering algorithms, and the different number of clusters will lead to different clustering ...
Lisong Wang, Guonan Cui, Xinye Cai
openaire +1 more source

