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Nov 23, 2017 · In this paper, a new genetic and ant colony self-adaptive hybrid (NGASAH) algorithm based on the chaotic searching strategy, multi-populations ...
The strategy of self-adaptive parameter control is used to dynamically balance the local search ability and the global ability, and improve the convergence ...
A Self-Adaptive Hybrid Optimization Algorithm for Solving Consecutive Reaction Problem · Di Zhou,; Jiangning Zhu, and; Yazi Wang. 1750022.
Jan 15, 2022 · This paper proposes an adaptive hybrid backtracking search optimization algorithm (AHBSA) for solving the DED_vpe. The core idea of AHBSA lies ...
Missing: Consecutive Reaction
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What is hybrid optimization algorithm?
Which algorithms evolve new problem solutions from components of previous solutions using specific operators such as crossover and mutation?
A self-adapting algorithm for many-objective optimization
www.sciencedirect.com › article › abs › pii
A new, robust many-objective hybrid optimizer (MOHO) is developed and verified. MOHO switches between constitutive algorithms to increase the convergence rate.
Missing: Consecutive Reaction
Oct 22, 2024 · A hybrid self-adaptive bees algorithm is proposed for the examination timetabling problems. The bees algorithm (BA) is a population-based ...
This paper introduces SHHOIRC, a novel hybrid algorithm designed to enhance the efficiency of HHO. Self-adaptive Harris Hawk Optimization using three chaotic ...
Missing: Consecutive | Show results with:Consecutive
Di Zhou, Jiangning Zhu, Yazi Wang: A Self-Adaptive Hybrid Optimization Algorithm for Solving Consecutive Reaction Problem. Int. J. Comput. Intell.
Mar 25, 2024 · In this work, we demonstrate a soft, electroactive platform that integrates digital logic and memory to enable self-adaptive sequential behavior.
The proposed Es-MFO algorithm is then used to solve the COVID-19 CT image segmentation problem using multi-level thresholding with the help of Otsu's method.