Hybrid Slime Mold and Arithmetic Optimization Algorithm with Random Center Learning and Restart Mutation [PDF]
Biomimetics, 2023 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.
Hongmin Chen +4 more
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Maximum Lyapunov exponent-based multiple chaotic slime mold algorithm for real-world optimization [PDF]
Scientific Reports, 2023 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.
Jiaru Yang +5 more
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An autonomous mobile robot path planning strategy using an enhanced slime mold algorithm [PDF]
Frontiers in Neurorobotics, 2023 IntroductionAutonomous 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
Ling Zheng +4 more
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Chaotic enhanced leader slime mold algorithm for dome structures with frequency constraints [PDF]
Scientific ReportsThis paper introduces the chaotic enhanced leader slime mold algorithm (CELSMA), an advanced bio-inspired optimization technique aimed at addressing high-dimensional engineering challenges.
Arnut Sutha +2 more
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Multiprocessor Fair Scheduling Based on an Improved Slime Mold Algorithm
Algorithms, 2023 An improved slime mold algorithm (IMSMA) is presented in this paper for a multiprocessor multitask fair scheduling problem, which aims to reduce the average processing time.
Manli Dai, Zhongyi Jiang
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An Improved Solution to Generation Scheduling Problem Using Slime Mold Algorithm
Frontiers in Energy Research, 2022 The slime mold algorithm (SMA) is a novel meta-heuristic search that replicates the characteristics of slime mold during oscillation. This is presented in a novel mathematical formulation that employs changeable weights to modify the sequence of both ...
Zixuan Zhu
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A Slime Mold-Ant Colony Fusion Algorithm for Solving Traveling Salesman Problem [PDF]
IEEE Access, 2020 The Ant Colony Optimization (ACO) is easy to fall into the local optimum and its convergence speed is slow in solving the Travelling Salesman Problem (TSP). Therefore, a Slime Mold-Ant Colony Fusion Algorithm (SMACFA) is proposed in this paper.
Meijiao Liu +7 more
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Improving effort-aware just-in-time defect prediction with weighted code churn and multi-objective slime mold algorithm [PDF]
HeliyonEffort-aware just-in-time software defect prediction (JIT-SDP) aims to effectively utilize the limited resources of software quality assurance (SQA) to detect more software defects. This improves the efficiency of SQA work and the quality of the software.
Hongming Dai +2 more
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Intelligent diagnosis method for river and lake ecosystem health based on improved slime mold algorithm-optimized SVR [PDF]
PLoS ONEIn the diagnosis of river and lake ecosystems, there are complex nonlinear relationships among water quality parameters, and their dynamic change mechanisms are rather complicated.
Ran Chi, Yuewu Da, Weiying Li, Duo Wen
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Multi-objective optimization of solar resource allocation in radial distribution systems using a refined slime mold algorithm [PDF]
HeliyonThe 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.
Zebin Wang +4 more
doaj +2 more sources