Results 81 to 90 of about 299,863 (342)
A Study of the Combination of Variation Operators in the NSGA-II Algorithm [PDF]
, 2013 Multi-objective evolutionary algorithms rely on the use of variation operators as their basic mechanism to carry out the evolutionary process. These operators are usually fixed and applied in the same way during algorithm execution, e.g., the mutation ...
Coello Coello, Carlos A. +4 more
core +2 more sources
Survey on Multi-Objective Evolutionary Algorithms
Journal of Physics: Conference Series, 2019 Abstract Multi-objective evolutionary algorithm (MOEA) is the main method to solve multi-objective optimization problem (MOP), which has become one of the hottest research areas of evolutionary computation. This paper surveys the development of MOEA and its research status, classifies it into four categories, analyzes the advantages and ...
Wenlan Huang, Yu Zhang, Lan Li
openaire +1 more source
Mechanotransducing Organic Electrochemical Diode for Crosstalk‐Inhibited Artificial Skin
Advanced Functional Materials, EarlyView.An innovative approach is presented to a stretchable mechanotransducing diode that unifies rectification and tactile‐sensing functionality. This approach enables to fabricate the diode that maintains a large rectification ratio (5 × 102) at a high operational frequency (100 Hz).
Taeyeong Kim +7 more
wiley +1 more source
Efficient Computation of Expected Hypervolume Improvement Using Box Decomposition Algorithms
, 2019 In the field of multi-objective optimization algorithms, multi-objective Bayesian Global Optimization (MOBGO) is an important branch, in addition to evolutionary multi-objective optimization algorithms (EMOAs).
Bäck, Thomas +3 more
core +1 more source
A New Multi-Objective Approach for Molecular Docking Based on RMSD and Binding Energy [PDF]
, 2016 Ligand-protein docking is an optimization problem based on predicting the position of a ligand with the lowest binding energy in the active site of the receptor.
Aldana-Montes, Jose Francisco +4 more
core +1 more source
Advanced Functional Materials, EarlyView.This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak +14 more
wiley +1 more source
Advanced Functional Materials, EarlyView.In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken +6 more
wiley +1 more source
International Journal of Advanced Robotic Systems, 2020 Intelligent manufacturing is a focus of current manufacturing research, and, in combination with the Internet, it enables accurate real-time control of intelligent equipment. Highly accurate real-time prosthesis control has very important applications in
Zheng Wang +4 more
doaj +1 more source
Impact analysis of crossovers in a multi-objective evolutionary algorithm [PDF]
, 2015 Multi-objective optimization has become mainstream because several real-world problems are naturally posed as a Multi-objective optimization problems (MOPs) in all fields of engineering and science.
Jan, MA +4 more
core
Predicting Atomic Charges in MOFs by Topological Charge Equilibration
Advanced Functional Materials, EarlyView.An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi +2 more
wiley +1 more source