Efficient Hill Climber for Multi-Objective Pseudo-Boolean Optimization [PDF]
Chicano, F., Whitley D., & Tinós R. (2016). Efficient Hill Climber for Multi-Objective Pseudo-Boolean Optimization. 16th European Conference on Evolutionary Computation for Combinatorial Optimization (LNCS 9595), pp.
Chicano, Francisco +2 more
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Optimum Nozzle Design for a Viscous Liquid by Using Multi-Objective Search Approaches
This work deals with the problem of a nozzle design addressed through a multi-objective optimization strategy where governing equations of fluid dynamics model the phenomena.
Victor Dario Cuervo Pinto +3 more
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Multi-objective optimization framework for networked predictive controller design
Networked Control Systems (NCSs) often suffer from random packet dropouts which deteriorate overall system's stability and performance. To handle the ill effects of random packet losses in feedback control systems, closed over communication network, a ...
Das, Saptarshi +2 more
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Hybrid Metaheuristics for Multi-Objective Optimization
Over the last two decades, interest on hybrid metaheuristics has risen considerably in the field of multi-objective optimization (MOP). The best results found for many real-life or academic multi-objective optimization problems are obtained by hybrid ...
E-G. Talbi
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Multi-objective optimization of Resin Infusion
The present paper addresses the multi-objective optimization of the filling stage of the Resin Infusion manufacturing process. The optimization focuses on the selection of an optimal temperature profile which addresses the tradeoff between filling time ...
G. Struzziero, A. A. Skordos
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Multi-disciplinary shape optimization of an entry capsule integrated with custom neural network approximation and multi-delity approach [PDF]
This paper describes a new integrated approach for the multi-disciplinary optimization of a entry capsule’s shape. Aerothermodynamics, Flight Mechanics and Thermal Protection System behaviour of a reference spaceship when crossing Martian atmosphere are ...
Cavallero, Claudio +6 more
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Research on Multi-Objective Optimization of Smart Grid Based on Particle Swarm Optimization
Fei Long +5 more
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Feature learning in feature-sample networks using multi-objective optimization
Data and knowledge representation are fundamental concepts in machine learning. The quality of the representation impacts the performance of the learning model directly.
Tinós, Renato +2 more
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Multi-Objective Framework for Dynamic Optimization of OFDMA Cellular Systems
Green cellular networking has become an important research area in recent years due to environmental and economical concerns. Switching off under-utilized BSs during off-peak traffic load conditions is a promising approach to reduce energy consumption in
Chandhar, Prabhu, Das, Suvra Sekhar
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Machine learning modeling and multi objective optimization of artificial detrusor
To address the problem of obtaining optimal design parameters for existing artificial detrusors using single-objective optimization methods, this research proposed a machine learning-based artificial detrusor modeling and multi-objective optimization ...
Yin Mao, Li Xiao
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