Results 31 to 40 of about 2,751,102 (125)
An Enhanced Slime Mould Algorithm and Its Application for Digital IIR Filter Design
, 2021 In the past few decades, metaheuristic algorithms (MA) have been developed tremendously and have been successfully applied in many fields. In recent years, a large number of new MA have been proposed.
Xiaodan Liang +4 more
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An Improved Slime Mould Algorithm for Demand Estimation of Urban Water Resources
, 2021 A slime mould algorithm (SMA) is a new meta-heuristic algorithm, which can be widely used in practical engineering problems. In this paper, an improved slime mould algorithm (ESMA) is proposed to estimate the water demand of Nanchang City.
Kanhua Yu, Lili Liu, Zhe Chen
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Engineering Reports, Volume 7, Issue 8, August 2025.Railway electrification systems indeed have unique challenges due to variable power demand and dynamic train operations. Power quality (PQ) monitoring for high‐speed trains (HSTs) is essential to guarantee the effectual and unfailing operation of the ESs.
Pampa Sinha +6 more
wiley +1 more source
Path Planning of Autonomous Mobile Robots Based on an Improved Slime Mould Algorithm
, 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
Bijun Li +4 more
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Bat algorithm based on kinetic adaptation and elite communication for engineering problems
CAAI Transactions on Intelligence Technology, Volume 10, Issue 4, Page 1174-1200, August 2025.Abstract The Bat algorithm, a metaheuristic optimization technique inspired by the foraging behaviour of bats, has been employed to tackle optimization problems. Known for its ease of implementation, parameter tunability, and strong global search capabilities, this algorithm finds application across diverse optimization problem domains. However, in the
Chong Yuan +6 more
wiley +1 more source
Advances in Physarum machines: sensing and computing with Slime mould
, 2016 This book is devoted to Slime mould Physarum polycephalum, which is a large single cell capable for distributed sensing, concurrent information processing, parallel computation and decentralized actuation.
Adamatzky, Andrew +5 more
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Engineering Reports, Volume 7, Issue 7, July 2025.In this paper, the slime mold algorithm (SMA) and genetic algorithm (GA) as metaheuristic algorithms are combined to create a novel hybrid intrusion detection (ID) method considering feature selection for classification problems. The effectiveness of this suggested approach is also evaluated in comparison to other well‐known methods like GA, PSO, GOA ...
Soodeh Hosseini +2 more
wiley +1 more source
Mutational Slime Mould Algorithm for Gene Selection
, 2022 A large volume of high-dimensional genetic data has been produced in modern medicine and biology fields. Data-driven decision-making is particularly crucial to clinical practice and relevant procedures.
Heidari, Ali Asghar +15 more
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, 2013 Being Slime Mould is an interactive installation and participatory performance exploring the design function and cooperative behaviour of the organism, Physarum polycephalum (a true slime mould).
May, Alex +3 more
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An Optimized Power Load Forecasting Algorithm Based on VMD‐SMA‐LSTM
Energy Science &Engineering, Volume 13, Issue 6, Page 3243-3253, June 2025.This paper proposes a load forecasting method that successfully combines the VMD‐SMA‐LSTM algorithms for load forecasting, and compares it with existing methods, demonstrating the superiority of the algorithm. ABSTRACT Accurate load forecasting can scientifically guide the optimal operation and scheduling of urban power grids.
Wei Liu +4 more
wiley +1 more source