Results 11 to 20 of about 192,884 (311)
Bound the Parameters of Neural Networks Using Particle Swarm Optimization
Computers, 2023 Artificial neural networks are machine learning models widely used in many sciences as well as in practical applications. The basic element of these models is a vector of parameters; the values of these parameters should be estimated using some ...
Ioannis G. Tsoulos +3 more
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Constructing Features for Screening Neurodevelopmental Disorders Using Grammatical Evolution
Applied Sciences, 2023 Developmental domains refer to different areas of a child’s growth and maturation, including physical, language, cognitive, and social–emotional skills. Understanding these domains helps parents, caregivers, and professionals track a child’s progress and
Eugenia I. Toki +3 more
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Evolutionary Optimization Techniques in Analog Integrated Circuit Designs
Mendel, 2023 The proposed genetic algorithm (GA) and particle swarm optimization (PSO) applied for the optimal design of a one-stage operational amplifier circuit with a current mirror load are studied in this work.
Trang Hoang +3 more
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Improving the Gridshells’ Regularity by Using Evolutionary Techniques
Mathematics, 2021 Designing and optimizing gridshell structures have been very attractive problems in the last decades. In this work, two indexes are introduced as “length ratio” and “shape ratio” to measure the regularity of a gridshell and are compared to the existing ...
Marjan Goodarzi +2 more
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Parasite, 2020 The ultrastructure of the mature spermatozoa of Tergestia clonacantha and T. laticollis collected from the digestive tracts of fishes from New Caledonia is described using transmission electron microscopy and compared to that of related species.
Ndiaye Papa Ibnou +5 more
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Grey-box model identification via evolutionary computing [PDF]
, 2002 This paper presents an evolutionary grey-box model identification methodology that makes the best use of a priori knowledge on a clear-box model with a global structural representation of the physical system under study, whilst incorporating accurate ...
Y. Li, Li, Y., K.C. Tan, Tan, K.C.
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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
Yang, S +5 more
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Introduction to Evolutionary Machine Learning Techniques
, 2019 This section first provides an overview of the machine learning field in artificial intelligence (AI). The most well-regarded classes of methods in AI are discussed to show where AI optimization algorithms and machine learning techniques fit in ...
Seyedali Mirjalili +5 more
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The SIOA Algorithm: A Bio-Inspired Approach for Efficient Optimization
AppliedMathThe Sporulation-Inspired Optimization Algorithm (SIOA) is an innovative metaheuristic optimization method inspired by the biological mechanisms of microbial sporulation and dispersal.
Vasileios Charilogis +3 more
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