Identifying and estimating solar cell parameters using an enhanced slime mould algorithm [PDF]
OptikMohd Ashraf Ahmad, Julakha Jahan Jui
exaly +3 more sources
Grasshopper Optimization Algorithm with Crossover Operators for Feature Selection and Solving Engineering Problems [PDF]
, 2022 Feature selection (FS) is an irreplaceable phase that makes data mining more efficient. It effectively enhances the implementation and decreases the computational problem of learning models.
Ewees, Ahmed A. +3 more
core +1 more source
Path Planning of Autonomous Mobile Robots Based on an Improved Slime Mould Algorithm
Drones, 2023 Path planning is a crucial component of autonomous mobile robot (AMR) systems. The slime mould algorithm (SMA), as one of the most popular path-planning approaches, shows excellent performance in the AMR field. Despite its advantages, there is still room
Ling Zheng +4 more
doaj +1 more source
TREBLE SEARCH OPTIMIZER: A STOCHASTIC OPTIMIZATION TO OVERCOME BOTH UNIMODAL AND MULTIMODAL PROBLEMS [PDF]
, 2023 Today, many metaheuristics have used metaphors as their inspiration and baseline for novelty. It makes the novel strategy of these metaheuristics difficult to investigate.
Dinimaharawati, Ashri +1 more
core +2 more sources
Optimal Design of Water Distribution Network Using Parallel Slime Mould Algorithm for Cost Minimization [PDF]
Water distribution networks (WDNs) are vital infrastructures designed to ensure a minimum acceptable supply level to consumers under different operating conditions throughout the design period.
Saki, Glody Malanda
core +2 more sources
Electrical engineering & Electromechanics, 2020 Purpose. This paper proposes the application procedure of a new metaheuristic technique in a practical electrical power system to solve optimal power flow problems, this technique namely the slime mould algorithm (SMA) which is inspired by the swarming ...
Ramzi Kouadri +2 more
doaj +1 more source
IEEE Access, 2023 The Slime Mould Algorithm (SMA) has gained significant attention from researchers due to its powerful multi-point search capability and its simple and practical structure. Several advanced versions of SMA have been proposed.
Xuebing Cai, Zengyu He, Fei Cheng
doaj +1 more source
Optimum battery sizing, scheduling and demand management for microgrids using slime mould algorithm [PDF]
Optimum battery energy storage systems (BESS) sizing, scheduling, and demand response management (DRM) play an important role in maintaining the cost-effective and reliable operation of microgrids (MG).
Hasan, Kazi +3 more
core +2 more sources
Investigating the Performance of Non-standard Overcurrent Relay with Integration of Photovoltaic Distributed Generation in Power Distribution System [PDF]
, 2023 The electricity demand is increasing daily, so the generation power should be raised to fulfil that demand. Renewable distributed generation-based photovoltaic sources are one of the best solutions to satisfy the Power Distribution System (PDS) as long ...
Amroune , Mohammed +3 more
core +1 more source
Enhanced Multi-Strategy Slime Mould Algorithm for Global Optimization Problems
BiomimeticsIn order to further improve performance of the Slime Mould Algorithm, the Enhanced Multi-Strategy Slime Mould Algorithm (EMSMA) is proposed in this paper. There are three main modifications to SMA.
Yuncheng Dong, Ruichen Tang, Xinyu Cai
doaj +1 more source