Results 81 to 90 of about 705,563 (279)
ECONOMIC DISPATCH AT THE AMBARLI POWER PLANT USING GENETIC ALGORITHM
Electrica, 2019 In this paper we consider the important problem of economic operation of power systems: how to operate a power system to supply all loads at minimum cost. Here we assume that we have some flexibility in adjusting the power delivered by each generator. Of
Belgin TÜRKAY
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FEBS Open Bio, EarlyView.ERα splice variant ERα∆7 lacks the C‐terminus, and its expression may change phenotypes of breast cancers. Our results showed that ERα∆7 is found in the luminal A subtype, and elevated ERα∆7 levels are linked to improved cell survival with lower proliferation and migration.
Long Wai Tsui +10 more
wiley +1 more source
Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey
CAAI Transactions on Intelligence TechnologyBio‐inspired optimisation methods have been widely applied to complex real‐world problems, particularly in low‐carbon power and energy systems, where optimisation tasks often involve high‐dimensional, constrained and mixed‐integer characteristics ...
Tianyu Hu +4 more
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On the Application of Genetic Algorithms to Differential Equations [PDF]
Genetic algorithms can be used in order to solve optimization problems. Such a technique may be used in order to solve differential equations.differential equations; genetic algorithms;
Mateescu, George Daniel
core
Digital twins to accelerate target identification and drug development for immune‐mediated disorders
FEBS Open Bio, EarlyView.Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley +1 more source
A coarse-grained parallelization of genetic algorithms
IJAIN (International Journal of Advances in Intelligent Informatics), 2018 Genetic algorithms are frequently used to solve optimization problems. However, the problems become increasingly complex and time consuming. One solution to speed up the genetic algorithm processing is to use parallelization. The proposed parallelization
Muhamad Radzi Rathomi, Reza Pulungan
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A Genetic Algorithm for the Maximum 2–Packing Set Problem
International Journal of Applied Mathematics and Computer Science, 2020 Given an undirected connected graph G = (V, E), a subset of vertices S is a maximum 2-packing set if the number of edges in the shortest path between any pair of vertices in S is at least 3 and S has the maximum cardinality.
Trejo-Sánchez Joel Antonio +2 more
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FEBS Open Bio, EarlyView.Activation of the mitochondrial protein OXR1 increases pSyn129 αSynuclein aggregation by lowering ATP levels and altering mitochondrial membrane potential, particularly in response to MSA‐derived fibrils. In contrast, ablation of the ER protein EMC4 enhances autophagic flux and lysosomal clearance, broadly reducing α‐synuclein aggregates.
Sandesh Neupane +11 more
wiley +1 more source
FEBS Open Bio, EarlyView.Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young +7 more
wiley +1 more source
Heuristic algorithms in topological design of telecommunication networks
Journal of Telecommunications and Information Technology, 2003 The paper addresses the generic topological network design problem and considers the use of various heuristic algorithms for solving the problem. The target of the optimisation is to determine a network structure and demand allocation pattern that would
Piotr Karaś
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