Results 31 to 40 of about 321,863 (350)
Absolutely free extrinsic evolution of passive low-pass filter [PDF]
, 2006 Evolutionary electronics is a brunch of evolvable hardware, where the evolutionary algorithm is applied towards electronic circuits. The success of evolutionary search most of all depends on variable length representation methodology. The low-pass filter
Kalganova, T, Sapargaliyev, Y
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Meta-heuristic algorithms in car engine design: a literature survey [PDF]
, 2015 Meta-heuristic algorithms are often inspired by natural phenomena, including the evolution of species in Darwinian natural selection theory, ant behaviors in biology, flock behaviors of some birds, and annealing in metallurgy.
Tayarani-N, Mohammad-H. +2 more
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Recent Developments in Program Synthesis with Evolutionary Algorithms [PDF]
arXiv, 2021 The automatic generation of computer programs is one of the main applications with practical relevance in the field of evolutionary computation. With program synthesis techniques not only software developers could be supported in their everyday work but even users without any programming knowledge could be empowered to automate repetitive tasks and ...
arxiv
Code Building Genetic Programming [PDF]
, 2020 In recent years the field of genetic programming has made significant advances towards automatic programming. Research and development of contemporary program synthesis methods, such as PushGP and Grammar Guided Genetic Programming, can produce programs that solve problems typically assigned in introductory academic settings.
arxiv +1 more source
Event-based graphical monitoring in the EpochX genetic programming framework [PDF]
, 2013 EpochX is a genetic programming framework with provision for event management – similar to the Java event model – allowing the notification of particular actions during the lifecycle of the evolutionary algorithm. It also provides a flexible Stats system
Castle, Tom +3 more
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IEEE AccessThe importance of efficient path planning (PP) cannot be overstated in the domain of robots, as it involves the utilization of intelligent algorithms to determine the optimal trajectory for robot to navigate between two given points.
Yang Zhang, Hu Zhang
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An island based hybrid evolutionary algorithm for optimization [PDF]
, 2008 This is a post-print version of the article - Copyright @ 2008 Springer-VerlagEvolutionary computation has become an important problem solving methodology among the set of search and optimization techniques. Recently, more and more different evolutionary
C. Li +9 more
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Evolutionary Computation and Its Applications in Neural and Fuzzy Systems
Applied Computational Intelligence and Soft Computing, 2011 Neural networks and fuzzy systems are two soft-computing paradigms for system modelling. Adapting a neural or fuzzy system requires to solve two optimization problems: structural optimization and parametric optimization.
Biaobiao Zhang +3 more
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Advanced Engineering Materials, EarlyView., 2023 The study presents the mechanical and in situ sensing performance of digital light processing‐enabled 2D lattice nanocomposites under monotonic tensile and repeated cyclic loading, and provides guidelines for the design of architectures suitable for strain sensors and smart lightweight structures.
Omar Waqas Saadi +3 more
wiley +1 more source
Application of the evolutionary approach to structural and parametric identification of dynamic objects [PDF]
ITM Web of ConferencesThe paper examines the evolutionary approach to structural and parametric identification of dynamic systems in the form of differential equations. The approach is based on a genetic programming algorithm to determine a structure of the equation and ...
Karaseva Tatiana
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