Results 21 to 30 of about 2,269,659 (185)
A Comparison between Fixed-Basis and Variable-Basis Schemes for Function Approximation and Functional Optimization [PDF]
, 2012 Fixed-basis and variable-basis approximation schemes are compared for the problems of function approximation and functional optimization (also known as infinite programming).
Gnecco, Giorgio
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Chaos Enhanced Bacterial Foraging Optimization for Global Optimization
IEEE Access, 2018 The recently developed Bacterial Foraging Optimization algorithm (BFO) is a nature-inspired optimization algorithm based on the foraging behavior of Escherichia coli.
Qian Zhang +5 more
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IEEE Access, 2020 Grey wolf optimizer (GWO) is a new meta-heuristic algorithm. The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Three main stages of hunting include: encircling, tracking and attacking.
M. W. Guo +4 more
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Scalarizing Functions in Bayesian Multiobjective Optimization [PDF]
, 2019 Scalarizing functions have been widely used to convert a multiobjective optimization problem into a single objective optimization problem. However, their use in solving (computationally) expensive multi- and many-objective optimization problems in ...
Chugh, Tinkle
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A Modified Gravitational Search Algorithm for Function Optimization
IEEE Access, 2019 Gravitational search algorithm (GSA) is a population-based heuristic algorithm, which is inspired by Newton’s laws of gravity and motion. Although GSA provides a good performance in solving optimization problems, it has a disadvantage of premature
Shoushuai He +4 more
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IEEE Access, 2020 To improve the convergence speed and accuracy of the Pity Beetle Algorithm(PBA), we propose an improved algorithm called one-way pioneer guide PBA (OPGPBA).
Yan-Jiao Wang, Peng Sun
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A Modified Gorilla Troops Optimizer for Global Optimization Problem
Applied Sciences, 2022 The Gorilla Troops Optimizer (GTO) is a novel Metaheuristic Algorithm that was proposed in 2021. Its design was inspired by the lifestyle characteristics of gorillas, including migration to a known position, migration to an undiscovered position, moving ...
Tingyao Wu +6 more
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Entanglement-Enhanced Quantum-Inspired Tabu Search Algorithm for Function Optimization
IEEE Access, 2017 Many metaheuristic algorithms have been proposed to solve combinatorial and numerical optimization problems. Most optimization problems have high dependence, meaning that variables are strongly dependent on one another.
Shu-Yu Kuo, Yao-Hsin Chou
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Particle Swarm Optimizer with Aging Operator for Multimodal Function Optimization [PDF]
International Journal of Computational Intelligence Systems, 2013 This paper proposes a new scheme for preventing a Particle Swarm Optimizer from premature convergence on multimodal optimization problems. Instead of only using fitness evaluation, we use a new index called particle age to guide population towards more ...
Bo Jiang, Ning Wang, Xiaodong Li
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工程科学学报, 2017 To remedy the low convergence rate and low optimization accuracy of the artificial fish swarm algorithm (AFSA), an improved artificial fish swarm algorithm (IAFSA) was proposed.
CAO Fa-ru, FENG Mao-lin
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