Results 41 to 50 of about 1,795 (171)

Harris Hawks Optimization for Optimum Design of Truss Structures with Discrete Variables [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences, 2021
This article investigates the use of Harris Hawks Optimization (HHO) to solve planar and spatial trusses with design variables that are discrete. The original HHO has been used to solve continuous design variables problems.
Mustafa Al-Bazoon
doaj  

Improved Multi-Strategy Harris Hawks Optimization and Its Application in Engineering Problems

open access: yesMathematics, 2023
In order to compensate for the low convergence accuracy, slow rate of convergence, and easily falling into the trap of local optima for the original Harris hawks optimization (HHO) algorithm, an improved multi-strategy Harris hawks optimization (MSHHO ...
Fulin Tian, Jiayang Wang, Fei Chu
doaj   +1 more source

Optimized RNN-oriented power quality enhancement and THD reduction for micro grid integration of PV system with MLI: Crow Search-based Harris Hawks Optimization concept

open access: yesFrontiers in Energy Research, 2022
Grid-connected Photo Voltaic (PV) power systems are becoming increasingly popular in several nations. The goal of achieving maximum power and acceptable power quality in a grid-connected PV power system is considered a major difficulty. Hence, this paper
Praveena A., Sathishkumar K.
doaj   +1 more source

Rules embedded harris hawks optimizer for large-scale optimization problems

open access: yesNeural Computing and Applications, 2022
Harris Hawks Optimizer (HHO) is a recent optimizer that was successfully applied for various real-world problems. However, working under large-scale problems requires an efficient exploration/exploitation balancing scheme that helps HHO to escape from possible local optima stagnation.
Hussein Samma, Ali Salem Bin Sama
openaire   +3 more sources

Data-driven Harris Hawks constrained optimization for computationally expensive constrained problems

open access: yesComplex & Intelligent Systems, 2022
Aiming at the constrained optimization problem where function evaluation is time-consuming, this paper proposed a novel algorithm called data-driven Harris Hawks constrained optimization (DHHCO).
Chongbo Fu   +3 more
doaj   +1 more source

Decentralized Coordination Dispatch Model Based on Chaotic Mutation Harris Hawks Optimization Algorithm

open access: yesEnergies, 2022
Aiming at the economic dispatch problem for an interconnected system with wind power integration, and in order to realize the goals of system economy and improvement of the cross-regional consumption level of wind energy, a decentralized coordination ...
Yuanyuan Wang   +6 more
doaj   +1 more source

Multiobjective Simulation–Optimization of Crop Allocation and Water Resources in Canal Command Areas Using Genetic Algorithms

open access: yesIrrigation and Drainage, EarlyView.
ABSTRACT This study develops an integrated simulation–optimization framework for sustainable crop allocation and water resource management in the Bargarh Canal Command (BCC), eastern India. Efficient irrigation allocation remains a critical challenge due to competing demands, groundwater–surface water interactions and environmental constraints ...
Priyanka Mohapatra   +2 more
wiley   +1 more source

High‐Throughput Quantitative Chemical Shift‐Encoded MRI of the Liver

open access: yesJournal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Access to MRI is limited by lengthy exam times and inefficient utilization. Focused protocols can reduce exam times, but workflow variability and inefficient room turnaround contribute to conservative scheduling with long exam slots.
Garrett C. Fullerton   +10 more
wiley   +1 more source

Modified Harris Hawks Optimizer for Solving Machine Scheduling Problems [PDF]

open access: yesSymmetry, 2020
Scheduling can be described as a decision-making process. It is applied in various applications, such as manufacturing, airports, and information processing systems. More so, the presence of symmetry is common in certain types of scheduling problems. There are three types of parallel machine scheduling problems (PMSP): uniform, identical, and unrelated
Hamza Jouhari   +6 more
openaire   +1 more source

Multistrategy Harris Hawks Optimization Algorithm Using Chaotic Method, Cauchy Mutation, and Elite Individual Guidance

open access: yesDiscrete Dynamics in Nature and Society, 2022
Aiming at the shortcomings of the Harris hawks optimization algorithm (HHO), such as poor initial population diversity, slow convergence speed, poor local optimization ability, and easily falling into local optimum, a Harris hawks optimization algorithm (
Lei Wen   +4 more
doaj   +1 more source

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