14 papers · ranked by Valyu relevance
Yuanfei Wei, Zalinda Othman, Kauthar Mohd Daud, Qifang Luo + 2 more
The slime mould algorithm (SMA) is a new swarm intelligence algorithm inspired by the oscillatory behavior of slime moulds during foraging. Numerous researchers have widely applied the SMA and its variants in various domains in the field and proved its value by conducting various literatures. In this paper, a…
Yuanyuan Jiang, Dong Zhang, Wenchang Zhu, Li Wang + 2 more
'Ali Rıza Yıldız'] Multi-level thresholding image segmentation divides an image into multiple regions of interest and is a key step in image processing and image analysis. Aiming toward the problems of the low segmentation accuracy and slow convergence speed of traditional multi-level threshold image segmentation…
Xiaoyi Zhang, Qixuan Liu, Xinyao Bai, Seyedali Mirjalili
In this article, an improved slime mould algorithm (SMA-CSA) is proposed for solving global optimization and the capacitated vehicle routing problem (CVRP). This improvement is based on the mixed-strategy optimization of Cauchy mutation and simulated annealing to alleviate the lack of global optimization capability of…
Yi Zhang, Yang Liu, Yue Zhao, Xu Wang + 4 more
'Laith Abualigah' 'Xuewen Xia'] This paper presents a hybrid algorithm based on the slime mould algorithm (SMA) and the mixed dandelion optimizer. The hybrid algorithm improves the convergence speed and prevents the algorithm from falling into the local optimal. (1) The Bernoulli chaotic mapping is added in the…
Feng Qiu, Ali Asghar Heidari, Yi Chen, Huiling Chen + 1 more
Modern medicine has produced large genetic datasets of high dimensions through advanced gene sequencing technology, and processing these data is of great significance for clinical decision-making. Gene selection (GS) is an important data preprocessing technique that aims to select a subset of feature information to…
Hongmin Chen, Zhuo Wang, Heming Jia, Xindong Zhou + 2 more
'Huiling Chen'] The slime mold algorithm (SMA) and the arithmetic optimization algorithm (AOA) are two novel meta-heuristic optimization algorithms. Among them, the slime mold algorithm has a strong global search ability. Still, the oscillation effect in the later iteration stage is weak, making it difficult to find…
Jiaru Yang, Yu Zhang, Ting Jin, Zhenyu Lei + 2 more
Slime mold algorithm (SMA) is a nature-inspired algorithm that simulates the biological optimization mechanisms and has achieved great results in various complex stochastic optimization problems. Owing to the simulated biological search principle of slime mold, SMA has a unique advantage in global optimization problem.…
Xinru Li, Zihan Lin, Haoxuan Lv, Liang Yu + 4 more
'Yudong Zhang' 'Huiling Chen' 'Guoxi Liang'] Title: 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 paper proposes…
Ling Zheng, Chengzhi Hong, Huashan Song, Rong Chen
Introduction Autonomous mobile robot encompasses modules such as perception, path planning, decision-making, and control. Among these modules, path planning serves as a prerequisite for mobile robots to accomplish tasks. Enhancing path planning capability of mobile robots can effectively save costs, reduce energy…
Leela Kumari Ch, Vikram Kumar Kamboj, S. K. Bath
The existing slime mould algorithm clones the uniqueness of the phase of oscillation of slime mould conduct and exhibits slow convergence in local search space due to poor exploitation phase. This research work exhibits to discover the best solution for objective function by commingling slime mould algorithm and…
Zebin Wang, Yu Li, Guodao Zhang, Xiaotian Pan + 1 more
The integration of distributed generation resources in power systems offers various advantages, such as peak load management and reduced transmission line congestion. However, it also introduces challenges related to voltage stability. This paper presents a novel multi-objective model for optimizing the allocation of…
Pham Vu Hong Son, Luu Ngoc Quynh Khoi
This study presents the Slime Mold Algorithm (SMA) to solve the time-cost-quality trade-off problem in a construction project. The proposed SMA is a flexible and efficient algorithm in exploration and exploitation to reach the best optimal solution to process the input model’s data. This paper aims to discuss and solve…
Fernando Patino-Ramirez, Chloé Arson, Audrey Dussutour
The acellular slime mold Physarum polycephalum provides an excellent model to study network formation, as its network is remodelled constantly in response to mass gain/loss and environmental conditions. How slime molds networks are built and fuse to allow for efficient exploration and adaptation to environmental…
Dominika Michalczyk-Wetula, Monika Jakubowska, Magdalena Felska, Dariusz Skarżyński + 2 more
'Dariusz Skarżyński' 'Joanna Mąkol' 'Przemysław M. Płonka'] Tyrophagus putrescentiae (Schrank), commonly known as the cereal mite, cheese mite, or ham mite, is a cosmopolitan species reported from various environments in the wild, including soil, plant material and vertebrate nests. It has also been recognized as a…