Results 91 to 100 of about 2,156 (195)

A Novel Hybrid Recruit Simulated Annealing and Rat Swarm Optimization Algorithm for Permutation Flow Shop Scheduling

Engineering Reports, Volume 8, Issue 4, April 2026.
Rat swarm position update mechanism in HRSA‐RSO, illustrating the collective exploration behavior around the prey target (A*, B*). ABSTRACT The permutation flow shop scheduling problem (PFSSP) is a classical NP‐hard problem that aims to determine an optimal job sequence across machines to minimize makespan.
Mourad Mzili, Mouna Torki, Toufik Mzili, Mohammed Benzakour Amine, Nebojsa Bacanin, Momina Shaheen   +5 more
wiley   +1 more source

Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey

CAAI Transactions on Intelligence Technology, Volume 11, Issue 2, Page 297-315, April 2026.
ABSTRACT Bio‐inspired optimisation methods have been widely applied to complex real‐world problems, particularly in low‐carbon power and energy systems, where optimisation tasks often involve high‐dimensional, constrained and mixed‐integer characteristics.
Tianyu Hu, Shihao Zhao, Yuanjun Guo, Linxin Zhang, Zhile Yang   +4 more
wiley   +1 more source

Localization of Hazardous Chemical Leakage Based on Multi-Strategy Improved Harris Hawks Optimization Algorithm

Shanghai Jiaotong Daxue xuebao
Hazardous chemical gas leakage accidents pose significant threats to public safety and the environment, and how to accurately locate the leakage source strength and location is particularly important.
CHEN Zengqiang, QI Congcong, ZHAO Yiwen, CHENG Yi
doaj   +1 more source

Efficient cluster-based routing protocol for wireless sensor networks by using collaborative-inspired Harris Hawk optimization and fuzzy logic.

PLoS ONE
In wireless sensor networks, the implementation of clustering and routing protocols has been crucial in prolonging the network's operational duration by conserving energy. However, the challenge persists in efficiently optimizing energy usage to maximize
Huangshui Hu, Xinji Fan, Chuhang Wang
doaj   +1 more source

The Comparison of Lately Proposed Harris Hawks Optimization and Jaya Optimization in Solving Directional Overcurrent Relays Coordination Problem

Complexity, 2020
In this paper, a lately proposed Harris Hawks Optimizer (HHO) is used to solve the directional overcurrent relays (DOCRs) coordination problem. To the best of the authors’ knowledge, this is the first time HHO is being used in the DOCRs coordination ...
Jiangtao Yu, Chang-Hwan Kim, Sang-Bong Rhee   +2 more
doaj   +1 more source

A path planning method using modified harris hawks optimization algorithm for mobile robots. [PDF]

PeerJ Comput Sci, 2023
Cai C, Jia C, Nie Y, Zhang J, Li L.
europepmc   +1 more source

Robust-momentum-learning-rate-based adaptive fractional-order least mean squares approach for power system frequency estimation using chaotic Harris hawks optimization

Frontiers in Energy Research
A novel robust adaptive technique is proposed to estimate the instantaneous power system frequency using a momentum-learning-control-rate-based fractional-order least mean squares approach with enhanced Harris hawks optimization.
Subhranshu Sekhar Pati, Umamani Subudhi
doaj   +1 more source

Influence Maximization in social networks using discretized Harris’ Hawks Optimization algorithm [PDF]

Influence Maximization (IM) is the task of determining k optimal influential nodes in a social network to maximize the influence spread using a propagation model.
Khatri, I, Prasad, M, Tyagi, A, Rao, A, Choudhry, A, Vishwakarma, DK   +5 more
core   +1 more source

Modified Harris Hawks Optimization Algorithm with Exploration Factor and Random Walk Strategy. [PDF]

Comput Intell Neurosci, 2022
Song M, Jia H, Abualigah L, Liu Q, Lin Z, Wu D, Altalhi M.   +6 more
europepmc   +1 more source

Fault diagnosis of high-voltage pulse track circuit 2 based on IHHO-KELM

Journal of Applied Science and Engineering
Aiming at the problem of low fault diagnosis accuracy of high-voltage pulse track circuit, a track circuit fault diagnosis method based on kernel extreme learning machine (KELM) optimized by improved Harris hawks optimization (IHHO) is proposed. Firstly,
Yunshui Zheng, Yuefan Zhang
doaj   +1 more source