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KING: An efficient optimization approach

delete2025-09-25
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PRE
AI
赵东 cover
赵东 (Dong Zhao)
Z
Zhen Wang
Y
Yupeng Li
A
Ali Asghar Heidari
陈奕 cover
陈奕 (Yi Chen)
H
Huiling Chen *
DOI:10.1016/j.neucom.2025.131645delete
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Abstract

Abstract

En 中文
• The Three Kingdoms Optimization Algorithm (KING), a novel metaheuristic inspired by Three Kingdoms historical dynamics. • A reinforcement convergence mechanism to adaptively balance exploration and exploitation for efficient convergence. • Rigorous benchmarking against classical, high-performance, and state-of-the-art peers on IEEE CEC 2017/2022 test suites. • Demonstrated excellence in real-world engineering optimization tasks, underscoring KING's applicability and reliability.

Journal

Neurocomputing cover
Neurocomputing
IF:
6.5
Papers:
2.5W
Citations:
6.5W

Organization

U
University of Tehran
Scholars:
2.4W
Papers: 2.3W
Citations: 2.7W
H
Hangzhou Dianzi University
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1.3W
Papers: 9.5K
Citations: 7.5K
S
shaoxing university
Scholars:
5.6K
Papers: 3.6K
Citations: 88
C
changchun normal university
Scholars:
1.2K
Papers: 777
Citations: 1
W
Wenzhou University
Scholars:
8.8K
Papers: 6.5K
Citations: 1.5W
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