Results 11 to 20 of about 165,885 (265)
Performance Optimization for a Class of Petri Nets
Sensors, 2023 Petri nets (PNs) are widely used to model flexible manufacturing systems (FMSs). This paper deals with the performance optimization of FMSs modeled by Petri nets that aim to maximize the system’s performance under a given budget by optimizing both ...
Weijie Shi +4 more
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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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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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FoundationsGlobal optimization represents a fundamental challenge in computer science and engineering, as it aims to identify high-quality solutions to problems spanning from moderate to extremely high dimensionality.
Glykeria Kyrou +2 more
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Combining Parallel Stochastic Methods and Mixed Termination Rules in Optimization
AlgorithmsParallel optimization enables faster and more efficient problem-solving by reducing computational resource consumption and time. By simultaneously combining multiple methods, such as evolutionary algorithms and swarm-based optimization, effective ...
Vasileios Charilogis +2 more
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