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An Efficient Slime Mould Algorithm Combined with k-Nearest Neighbor for Medical Classification Tasks

Yaser M. Wazery, Eman Saber, Essam H. Houssein, Abdelmgeid A. Ali, Eslam Amer
2021 IEEE Access  
INDEX TERMS Medical classification, feature selection (FS), machine learning (ML), slime mould algorithm (SMA), opposition-based learning (OBL).  ...  To overcome these limitations, this paper proposes ISMA, an improved version of the slime mould algorithm (SMA) hybridized with the opposition-based learning (OBL) strategy based on the k-nearest neighbor  ...  SLIME MOULD ALGORITHM Slime mould algorithm (SMA) [26] is based on the oscillation mode of slime mould in nature.  ... 
doi:10.1109/access.2021.3105485 fatcat:ie7neftbnzfh3pzmvpytm5chx4

A Cost-Effective Solution for Non-Convex Economic Load Dispatch Problems in Power Systems Using Slime Mould Algorithm

Vikram Kumar Kamboj, Challa Leela Kumari, Sarbjeet Kaur Bath, Deepak Prashar, Mamoon Rashid, Sultan S. Alshamrani, Ahmed Saeed AlGhamdi
2022 Sustainability  
Slime Mould Algorithm (SMA) is a newly designed meat-heuristic search that mimics the nature of slime mould during the oscillation phase.  ...  The study shows the usage of the SM algorithm to solve a non-convex and cost-effective Load Dispatch Problem (ELD) in an electric power system.  ...  The flowchart in Figure 6 describes the functioning of slime mould algorithm in which the position of slime mould is initialized.  ... 
doi:10.3390/su14052586 fatcat:x2zqpgwvxrhptltle3ia4dn5sy

A Hybrid SSA and SMA with Mutation Opposition-Based Learning for Constrained Engineering Problems

Shuang Wang, Qingxin Liu, Yuxiang Liu, Heming Jia, Laith Abualigah, Rong Zheng, Di Wu, Mario Versaci
2021 Computational Intelligence and Neuroscience  
Based on Salp Swarm Algorithm (SSA) and Slime Mould Algorithm (SMA), a novel hybrid optimization algorithm, named Hybrid Slime Mould Salp Swarm Algorithm (HSMSSA), is proposed to solve constrained engineering  ...  It is worth noting that a novel strategy called mutation opposition-based learning is proposed to enhance the performance of the hybrid optimization algorithm on premature convergence avoidance, balance  ...  ALGORITHM 2: Pseudocode of Slime Mould Algorithm.  ... 
doi:10.1155/2021/6379469 pmid:34531910 pmcid:PMC8440113 fatcat:f6qglz23jbcsxczov3hbgv353u

Slime mould: The fundamental mechanisms of biological cognition

Jordi Vallverdú, Oscar Castro, Richard Mayne, Max Talanov, Michael Levin, Frantisek Baluška, Yukio Gunji, Audrey Dussutour, Hector Zenil, Andrew Adamatzky
2018 Biosystems (Amsterdam. Print)  
The slime mould Physarum polycephalum has been used in developing unconventional computing devices for in which the slime mould played a role of a sensing, actuating, and computing device.  ...  These devices treated the slime mould rather as an active living substrate yet the slime mould is a selfconsistent living creature which evolved for millions of years and occupied most part of the world  ...  Defining the Nature of Slime Mould The slime moulds are a polyphyletic group of protistic organisms existing in three major categories: 'true', acellular or plasmodial slime moulds of class Myxogastria  ... 
doi:10.1016/j.biosystems.2017.12.011 pmid:29326068 fatcat:4kffm2hthnbonilhb3y4dwhwji

Slime mould: the fundamental mechanisms of cognition [article]

Jordi Vallverdu, Oscar Castro, Richard Mayne, Max Talanov, Michael Levin, Frantisek Baluska, Yukio Gunji, Audrey Dussutour, Hector Zenil, Andrew Adamatzky
2017 arXiv   pre-print
The slime mould Physarum polycephalum has been used in developing unconventional computing devices for in which the slime mould played a role of a sensing, actuating, and computing device.  ...  These devices treated the slime mould rather as an active living substrate yet the slime mould is a self-consistent living creature which evolved for millions of years and occupied most part of the world  ...  Defining the Nature of Slime Mould The slime moulds are a polyphyletic group of protistic organisms existing in three major categories: 'true', acellular or plasmodial slime moulds of class Myxogastria  ... 
arXiv:1712.00414v1 fatcat:zodiaghavjb63luaivd5zucpuy

An Enhanced Slime Mould Optimizer That Uses Chaotic Behavior and an Elitist Group for Solving Engineering Problems

Shahenda Sarhan, Abdullah Mohamed Shaheen, Ragab A. El-Sehiemy, Mona Gafar
2022 Mathematics  
This article suggests a novel enhanced slime mould optimizer (ESMO) that incorporates a chaotic strategy and an elitist group for handling various mathematical optimization benchmark functions and engineering  ...  Enhanced Slime Mould Optimizer Standard Slime Mould Optimizer The slime mould optimizer (SMO) is a novel optimizer that relies on the oscillation pattern of slime mould in reality.  ...  A slime mould optimizer (SMO) is a novel technique that was developed by considering the spreading and foraging behavior of slime mould and presented in 2020 by Li et al. [25] .  ... 
doi:10.3390/math10121991 fatcat:zgriw34wcnh2hdqdr2cbmwaop4

Applications of Multi-Agent Slime Mould Computing [article]

Jeff Jones
2015 arXiv   pre-print
Slime mould functions as a living embodied computational material which can be influenced (or pro- grammed) by the placement of external stimuli.  ...  The giant single-celled slime mould Physarum polycephalum has inspired rapid develop- ments in unconventional computing substrates since the start of this century.  ...  Graph Problems: Spanning trees and Proximity Graphs Graph problems are a natural fit for slime mould computing because the growth and adaptation of slime mould naturally forms edges (the protoplasmic tubes  ... 
arXiv:1511.05774v1 fatcat:ovcatw4smzdblmbpdaddzwhkkq

When the Path Is Never Shortest: A Reality Check on Shortest Path Biocomputation [chapter]

Richard Mayne
2018 Emergence, Complexity and Computation  
Acknowledgements The author thanks both reviewers for their invaluable insights and suggestions and Matthew Hynam for providing the laser cut architectural drafts used in slime mould experiments.  ...  Slime mould mechanisms for adapting its inbuilt foraging behaviour to solving permutations of SPPs have been exploited in various biocomputer prototypes, including: • Solving U-shaped trap problems [23  ...  As such, descriptions of slime mould addressing MPPs cannot be favourably interpreted in purely algorithmic terms, so our biocomputing vocabulary must be altered accordingly.  ... 
doi:10.1007/978-3-319-77510-4_14 fatcat:rwhg6wyc4ff4tbyabbww3w6sya

Enhanced Slime Mould Algorithm for Multilevel Thresholding Image Segmentation Using Entropy Measures

Shanying Lin, Heming Jia, Laith Abualigah, Maryam Altalhi
2021 Entropy  
This paper proposes an enhanced slime mould algorithm for global optimization and multilevel thresholding image segmentation, namely ESMA.  ...  Second, quasi opposition-based learning is introduced to enhance the exploitation ability and balance the exploration and exploitation.  ...  Slime Mould Algorithm The slime mould algorithm (SMA) is a meta-heuristic optimization algorithm proposed recently by Li et al.  ... 
doi:10.3390/e23121700 pmid:34946006 pmcid:PMC8700578 fatcat:nftb2towond3vbuyr7gly2rvbe

Decision-making without a brain: how an amoeboid organism solves the two-armed bandit

Chris R. Reid, Hannelore MacDonald, Richard P. Mann, James A. R. Marshall, Tanya Latty, Simon Garnier
2016 Journal of the Royal Society Interface  
We examine decisionmaking in the unicellular slime mould Physarum polycephalum using a classical decision problem adapted from human and animal decision-making studies: the two-armed bandit problem.  ...  The algorithm is intermediate in computational complexity between simple, reactionary heuristics and calculation-intensive optimal performance algorithms, yet it has very good relative performance.  ...  Finally, we used Bayesian model selection to select the most likely behavioural algorithm employed by the slime mould cells, and compared this strategy to the performance expected by the more complex,  ... 
doi:10.1098/rsif.2016.0030 pmid:27278359 pmcid:PMC4938078 fatcat:hfofmjymbvb37i5f3nuynpwgeq

A Modified Slime Mould Algorithm for Global Optimization

An-Di Tang, Shang-Qin Tang, Tong Han, Huan Zhou, Lei Xie, Heng Liu
2021 Computational Intelligence and Neuroscience  
Slime mould algorithm (SMA) is a population-based metaheuristic algorithm inspired by the phenomenon of slime mould oscillation.  ...  Firstly, a chaotic opposition-based learning strategy is used to enhance population diversity.  ...  Slime Mould Algorithm In this section, the basic procedure of SMA is described.  ... 
doi:10.1155/2021/2298215 pmid:34912443 pmcid:PMC8668367 fatcat:zuvwstsqung4nmr7kprbgwmpma

Improved slime mould algorithm hybridizing chaotic maps and differential evolution strategy for global optimization

Hui Chen, Xiaobo Li, Shaolang Li, Yuxin Zhao, Junwei Dong
2022 IEEE Access  
Slime Mould Algorithm (SMA) is a new meta-heuristics algorithm that is inspired by the behaviors of slime mould from nature.  ...  CHDESMA was compared with advanced algorithms and DE variants.  ...  Algorithm 1 1 Pseudo-code of SMA Initialization: maxiter, Dim, slime mould population N, and each slime mould position xi While (t ≤ maxiter ) Calculate the fitness value of each slime mould.  ... 
doi:10.1109/access.2022.3183627 fatcat:5offcic5kffu5mskx2hxw5fogu

Towards Lateral Inhibition and Collective Perception in Unorganised Non-Neural Systems [article]

Jeff Jones
2015 arXiv   pre-print
Could simple organisms such as slime mould approximate LI without recourse to neural tissue?  ...  We use a multi-agent model of slime mould to reproduce the char- acteristic edge contrast amplification effects of LI using excitation via attractant based stimuli.  ...  This approach was chosen specifically specifically because we wanted to reproduce the generation of complex behaviour in slime mould using the same limitations that slime mould has, i.e. using very simple  ... 
arXiv:1511.05779v1 fatcat:hrtlvwy3vfa4rmic2q2eqzcyjq

Mechanisms Inducing Parallel Computation in a Model of Physarum polycephalum Transport Networks

Jeff Jones
2015 Parallel Processing Letters  
The mechanisms may prove useful in understanding the search strategies and adaptation of distributed organisms within their environment, in understanding the minimal requirements for com- plex adaptive  ...  In this paper we examine and catalogue individual low-level mechanisms which may be used to induce network formation and adaptation in a multi-agent model of P. polycephalum.  ...  mould for classical algorithms.  ... 
doi:10.1142/s0129626415400046 fatcat:r7vvzuqwsrdf5bxn7gyuoiqbiq

Simulating strange attraction of acellular slime mould Physarum polycephaum to herbal tablets

Andrew Adamatzky
2012 Mathematical and computer modelling  
Plasmodium of acellular slime mould Physarum polycephalum exhibits traits of wave-like behaviour. The plasmodium's behaviour can be finely tuned in laboratory experiments by using herbal tablets.  ...  spatial development of slime mould Physarum polycephalum.  ...  Such a unique behaviour of plasmodium in presence of Kalms Tablets/Sleep indicates that a plasmodium could implement Jarvis's Gift Wrapping algorithm [19] , adapted to concave hulls, if points of P are  ... 
doi:10.1016/j.mcm.2011.09.015 fatcat:6ozjt3wylza6pbr4l7tybascw4
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