Results 191 to 200 of about 83,757 (226)
Multiobjective optimal power flow solutions using nondominated sorting colliding bodies optimization. [PDF]
Sci RepPulluri H +5 more
europepmc +1 more source
Multimodal multiobjective optimization with structural network control principles to optimize personalized drug targets for drug discovery of individual patients. [PDF]
Brief BioinformLiang J, Hu Z, Bi Y, Cheng H, Guo WF.
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Dynamic job shop scheduling under multiple order disturbances using deep reinforcement learning. [PDF]
Sci ProgSun Z, Han W, Gao L, Zhu C, Lyu Q.
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Journal of the ACM, 1991
Summary: A multiobjective generalization of the heuristic search algorithm \(A^*\) is presented, called \(MOA^*\). The research is motivated by the observation that most real-world problems involve multiple, conflicting, and noncommensurate objectives.
Stewart, Bradley S. +1 more
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Summary: A multiobjective generalization of the heuristic search algorithm \(A^*\) is presented, called \(MOA^*\). The research is motivated by the observation that most real-world problems involve multiple, conflicting, and noncommensurate objectives.
Stewart, Bradley S. +1 more
openaire +1 more source
Multiobjective Evolution Strategy for Dynamic Multiobjective Optimization
IEEE Transactions on Evolutionary Computation, 2020This article presents a novel evolution strategy-based evolutionary algorithm, named DMOES, which can efficiently and effectively solve multiobjective optimization problems in dynamic environments. First, an efficient self-adaptive precision controllable mutation operator is designed for individuals to explore and exploit the decision space.
Kai Zhang +3 more
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Multiobjective Patient Stratification Using Evolutionary Multiobjective Optimization
IEEE Journal of Biomedical and Health Informatics, 2018One of the main challenges in modern medic-ine is to stratify patients for personalized care. Many different clustering methods have been proposed to solve the problem in both quantitative and biologically meaningful manners. However, existing clustering algorithms suffer from numerous restrictions such as experimental noises, high dimensionality, and ...
Xiangtao Li, Ka-Chun Wong
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Nonlinear Dynamics, Psychology, and Life Sciences, 2003
Multiobjective oligopoly models are constructed. The objectives of the first two models are to maximize profits and to maximize sales. In the third model the objectives are to maximize profits and to minimize risk. Giving more weight to risk minimization decreased the profits.
E, Ahmed, A S, Hegazi, A T Abd, El-Hafez
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Multiobjective oligopoly models are constructed. The objectives of the first two models are to maximize profits and to maximize sales. In the third model the objectives are to maximize profits and to minimize risk. Giving more weight to risk minimization decreased the profits.
E, Ahmed, A S, Hegazi, A T Abd, El-Hafez
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Interactive multiobjective optimization procedure
AIAA Journal, 1999This research focuses on multiobjective system design and optimization. The primary goal is to develop and test a mathematically rigorous and efficient interactive multiobjective optimization algorithm that takes into account the designer's preferences during the design process.
Ravindra Tappeta, John Renaud
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