Results 11 to 20 of about 43,570 (212)
Properties of objective functions and search algorithms in multi-objective optimization problems
Objectives. A frequently used method for obtaining Pareto-optimal solutions is to minimize a selected quality index under restrictions of the other quality indices, whose values are thus preset.
A. V. Smirnov
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SELVa: Simulator of evolution with landscape variation.
Organisms evolve to increase their fitness, a process that may be described as climbing the fitness landscape. However, the fitness landscape of an individual site, i.e., the vector of fitness values corresponding to different variants at this site, can ...
Elena Nabieva, Georgii A Bazykin
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In nature, plants can contain variable nutrients depending upon the species, tissue, and developmental stage. Insect herbivores may regulate their nutrient intake behaviorally and physio- logically when encountering different foods.
Shaolei Sun +4 more
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Simulation-based fitness landscape analysis and optimisation of complex problems
Widespread hard optimisation problems in economics and logistics are characterised by large dimensions, uncertainty and nonlinearity and require more powerful methods of stochastic optimisation that traditional ones. Simulation optimisation is a powerful
Galina Merkuryeva, Vitaly Bolshakov
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The paper aims to investigate the basin of attraction map of a complex Vehicle Routing Problem with random walk analysis. The Vehicle Routing Problem (VRP) is a common discrete optimization problem in field of logistics.
Anita Agárdi +2 more
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The no-wait flow shop scheduling problem (NWFSP) is one of the essential models in the manufacturing systems. In this paper, the fitness landscape of the factorial representation for NWFSP with the makespan criterion is studied. The encoding and decoding
Fuqing Zhao +5 more
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Quantifying the Evolutionary Constraints and Potential of Hepatitis C Virus NS5A Protein
RNA viruses, such as hepatitis C virus (HCV), influenza virus, and SARS-CoV-2, are notorious for their ability to evolve rapidly under selection in novel environments.
Lei Dai +9 more
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On the incongruence of genotype-phenotype and fitness landscapes.
The mapping from genotype to phenotype to fitness typically involves multiple nonlinearities that can transform the effects of mutations. For example, mutations may contribute additively to a phenotype, but their effects on fitness may combine non ...
Malvika Srivastava, Joshua L Payne
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Human Search in a Fitness Landscape: How to Assess the Difficulty of a Search Problem
Computational modeling is widely used to study how humans and organizations search and solve problems in fields such as economics, management, cultural evolution, and computer science.
Oana Vuculescu +3 more
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Using a neural network to predict how green fluorescent proteins respond to genetic mutations illuminates properties that could help design new proteins.
Grzegorz Kudla, Marcin Plech
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