Results 21 to 30 of about 2,751,102 (125)
Global Optimizasyonu için Uygunluk Mesafe Dengesi Tabanlı Rehber Mekanızmasıyla Slime Mould Optimize Edicinin İyileştirilmesi [PDF]
In this study, the performance of Slime-Mould-Algorithm (SMA), a current Meta-Heuristic Search algorithm, is improved. In order to model the search process lifecycle process more effectively in the SMA algorithm, the solution candidates guiding the ...
Isık, Mehmet Fatıh +13 more
core +2 more sources
Slime Mould Algorithm (SMA) is a newly designed meat-heuristic search that mimics the nature of slime mould during the oscillation phase. This is demonstrated in a unique mathematical formulation that utilizes adjustable weights to influence the sequence
Deepak Prashar +6 more
core +1 more source
The global energy landscape is shifting towards sustainability amid climate challenges. As a developing nation, Bangladesh faces the critical challenge of formulating an optimal energy mix that balances economic, environmental, and social considerations.
Mohsin Islam Rifat +5 more
wiley +1 more source
This study presents a load‐flow assessment of the IEEE 9‐bus transmission system with an integrated 85‐bus radial distribution network (RDN), incorporating solar‐powered distributed generators (DGs) to enhance energy efficiency and grid stability. Load flow of the IEEE 9‐bus transmission system is accomplished using Newton–Raphson to determine voltage ...
Simarla Vijender Reddy, R. Sai Neha
wiley +1 more source
In this study, a modified chaos game optimization technique (MCGOT) is developed for the optimal allocation of renewable distributed generators (DGs) and capacitors (CRs) with a reconfiguration network (RN) while considering the reconfiguration ability of power distribution systems (RPDS).
Ali S. Aljumah +4 more
wiley +1 more source
Summary: The slime mould algorithm (SMA) is a population-based swarm intelligence optimization algorithm that simulates the oscillatory foraging behavior of slime moulds. To overcome its drawbacks of slow convergence speed and premature convergence, this
Zihan Lin +7 more
core +1 more source
Forecasting relative humidity remains challenging due to its nonlinear, nonstationary characteristics and long‐memory dependence. This study proposes a hybrid decomposition‐ensemble model, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise–Sample Entropy–Gated Recurrent Unit–Ridge Regression (CEEMDAN‐SE‐GRU‐Ridge), for one‐step‐ahead ...
John Kamwele Mutinda +4 more
wiley +1 more source
Slime Mould Algorithm: A Comprehensive Survey of Its Variants and Applications
Meta-heuristic algorithms have a high position among academic researchers in various fields, such as science and engineering, in solving optimization problems. These algorithms can provide the most optimal solutions for optimization problems.
Gharehchopogh, Farhad Soleimanian +4 more
core +1 more source
A Novel Tuned Mass Amplified Inertance Damper for Vibration Control of Building Structures
In vibration control of building structures, the application of classical tuned mass dampers (TMDs) often faces challenges, particularly the need for a large mass to be effective. While alternative devices like the tuned mass damper inerter (TMDI) offer improved performance over the TMD with a reduced physical mass, existing TMDI configurations ...
Lili Zhou +5 more
wiley +1 more source
An enhanced binary slime mould algorithm for solving the 0–1 knapsack problem
The slime mould algorithm (SMA) has recently been introduced to solve continuous engineering problems, which has been employed to solve a wide range of various problems due to its good performance.
Barshandeh, Saeid +7 more
core +1 more source

