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Joan Vendrell and Solmaz Kia
This paper proposes a quantum-inspired evolutionary algorithm (QiEA) to solve an optimal service-matching task-assignment problem. Our proposed algorithm comes with the advantage of generating always feasible population individuals and, thus, eliminating...
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Smarajit Ghosh, Manvir Kaur, Suman Bhullar and Vinod Karar
The main objective of short-term hydrothermal scheduling is the optimal allocation of the hydro and thermal generating units, so that the total cost of thermal plants can be minimized. The time of operation of the functioning units are considered to be 2...
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David Ehrenberg, Nils Krause, Mattia Saita, Christian Bamann, Rajiv K. Kar, Kirsten Hoffmann, Dorothea Heinrich, Igor Schapiro, Joachim Heberle and Ramona Schlesinger
Channelrhodopsins (ChRs) belong to the unique class of light-gated ion channels. The structure of channelrhodopsin-2 from Chlamydomonas reinhardtii (CrChR2) has been resolved, but the mechanistic link between light-induced isomerization of the chromophor...
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A. N. Raikov
Pág. 43 - 50
Cognitive modeling is the modeling enriched with semantic interpretations. Both denotative (formalized) and significative, or cognitive (non-formalized: subjective, mental, emotional, transcendental) semantics are taken into account. In digital data proc...
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Ming-Wei Li, Jing Geng, Shumei Wang and Wei-Chiang Hong
Hybridizing evolutionary algorithms with a support vector regression (SVR) model to conduct the electric load forecasting has demonstrated the superiorities in forecasting accuracy improvements. The recently proposed bat algorithm (BA), compared with cla...
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Rafael Lahoz-Beltra
Genetic algorithms (GAs) are a class of evolutionary algorithms inspired by Darwinian natural selection. They are popular heuristic optimisation methods based on simulated genetic mechanisms, i.e., mutation, crossover, etc. and population dynamical proce...
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