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Comparative Study on Search Performance between GA and PSO for Stacking Optimization of Laminated Plates

Michio Innami, Yoshihiro Narita
2018 EPI International Journal of Engineering  
The optimization is performed by using two metaheuristic methods, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), and comparison is made to evaluate differences in search performance of the  ...  This paper deals with the optimization problem to maximize the vibration performance of laminated composite plates by properly tailoring the fiber orientation angles in the layers.  ...  Kennedy and Eberhart published a book [7] to describe many theoretical aspects in PSO and swarm intelligence. Extensive surveys of PSO applications were made by Poli [8, 9] .  ... 
doi:10.25042/epi-ije.022018.16 fatcat:chb5ujc77rc5dg33g56bur2vou

Swarm and Entropic Modeling for Landmine Detection Robots [chapter]

Cagdas Bayram, Hakki Erhan Sevil, Serhan Ozdemir
2008 Lecture Notes in Electrical Engineering  
A message with zero life count is not broadcast.  ...  In our model, a drone has a specific number of proximity sensors n PSA that are placed symmetrically on a circle. Each sensor is assumed to cover an angle equal to 2π n PSA .  ... 
doi:10.1007/978-0-387-74935-8_7 fatcat:foytpqabaneurj2d6lpc5blhxa

Detection of Spoofed IP nodes using BAT Algorithm and Extreme Learning Machine

2019 International Journal of Engineering and Advanced Technology  
This paper provides creating a threat model of detecting the Spoofed IP nodes among 105 network wireless communication scenario using computational intelligence algorithm, the features are selected from  ...  recently some author come up with ideas of using computational intelligence methods for detecting the different types of attacks in wireless communications which results in accurate prediction.  ...  Shin[13] Hop Count Filtering Host Level Validates the source prefix binded with hop count value. Produces False negatives. By modifying the TTL value HCF can be bypassed. A. Yaar, A.  ... 
doi:10.35940/ijeat.b2962.129219 fatcat:4spq5yslzvewhgzxjngfoi4fdq

Solenopsis: A Framework for the Development of Ant Algorithms

Amos Brocco, Beat Hirsbrunner, Michele Courant
2007 2007 IEEE Swarm Intelligence Symposium  
Bioinspired techniques such as swarm intelligence algorithms, have proved to be robust and suitable for managing tasks like routing, load-balancing or resource discovery.  ...  The system provides a modular and scalable environment that can be distributed over a network. Ants are coded using a simple programming language, and are able to migrate across nodes.  ...  ACKNOWLEDGMENT Solenopsis has been developed thanks to the financial support of the Swiss Hasler Foundation [20] in the framework of the "ManCom Initiative" (ManCom for "Managing Complexity of Information  ... 
doi:10.1109/sis.2007.367954 dblp:conf/swis/BroccoHC07 fatcat:idnskcdlnncd7hscqeamsmuaxq

An Organic Computing architecture for visual microprocessors based on Marching Pixels

Dietmar Fey, Marcus Komann, Frank Schurz, Andreas Loos
2007 2007 IEEE International Symposium on Circuits and Systems  
They are crawling as hardware agents within a pixel field, e.g. to identify and to detect center points of an arbitrary number of objects given in an image.  ...  It is impossible to meet such strict requirements for megapixel resolutions with serial processing schemes in particular if multiple given objects have to be detected.  ...  In [11] an approach is presented which allows to find the center point in symmetric objects.  ... 
doi:10.1109/iscas.2007.377967 dblp:conf/iscas/FeyKSL07 fatcat:zgjth4kqxjbdlgcpbfqygrtisa

Efficient Networks Communication Routing Using Swarm Intelligence

Koushal Kumar
2012 International Journal of Information Technology and Computer Science  
In this paper we give disadvantages of previously used network routing algorith ms and how we can apply swarm intelligence to overcome these problems.  ...  A new class of algorith ms, inspired by swarm intelligence is currently being developed that can potentially solve nu merous problems of modern co mmunicat ions networks.  ...  Swarm problem solving is a bottom-up approach to controlling and optimizing d istributed systems.  ... 
doi:10.5815/ijitcs.2012.12.07 fatcat:e3mjlt2kxfgwjhpdqs65ziuq2e

A biologically-inspired clustering protocol for wireless sensor networks

S. Selvakennedy, S. Sinnappan, Yi Shang
2007 Computer Communications  
Our protocol is found to ensure a good distribution of clusterheads through a totally distributed approach.  ...  In order to allow for a realistic evaluation, a comprehensive simulator involving critical components of the communication stack is used.  ...  Acknowledgments The authors would like to thank the anonymous reviewers for their valuable comments and suggestions.  ... 
doi:10.1016/j.comcom.2007.05.010 fatcat:2efqdkvasratfeapcifuvnrfry

Optimized Spatial Partitioning via Minimal Swarm Intelligence [article]

Casey Kneale, Dominic Poerio, Karl S. Booksh
2017 arXiv   pre-print
Some improvements in particle swarm optimizer results on multimodal test functions from partitioned initial positions in two space are also illustrated.  ...  CVT based methods require global knowledge of spatial boundaries, do not readily allow for weighted regions, have challenging implementations, and are inefficiently extended to high dimensional spaces.  ...  In order to optimally search challenging terrains, sensors must rely on rapid swarm intelligence for efficacy and survival.  ... 
arXiv:1701.05553v1 fatcat:zxm7rju2hbawjgcvk3mp5b25ey

Categories, Quantum Computing, and Swarm Robotics: A Case Study

Maria Mannone, Valeria Seidita, Antonio Chella
2022 Mathematics  
The swarms of robots are examples of artificial collective intelligence, with simple individual autonomous behavior and emerging swarm effect to accomplish even complex tasks.  ...  Aiming to build up a general model, we first sketch a diagrammatic classification of swarms relating ideal swarms to existing implementations, inspired by category theory.  ...  , stacking together to perform a more complex task).  ... 
doi:10.3390/math10030372 fatcat:4h5wh3awojhfta4xx6nvrorptq

Lightweight Swarm Attestation

Xavier Carpent, Karim ElDefrawy, Norrathep Rattanavipanon, Gene Tsudik
2017 Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security - ASIA CCS '17  
To this end, it makes two contributions: (1) a new metric, called QoSA: Quality of Swarm Attestation, that captures the information offered by a swarm attestation technique; this allows comparing efficacy  ...  This paper's main goal is to advance swarm attestation by bringing it closer to reality.  ...  Acknowledgments The authors are grateful to AsiaCCS'17 anonymous reviewers for helpful comments and improvement suggestions. UCI authors were supported, in part, by funding from: (1)  ... 
doi:10.1145/3052973.3053010 dblp:conf/ccs/CarpentDRT17 fatcat:d64tijdqxfcbranudbuei62mjm

Ant based Algorithm for Load Balancing in Mobile Ad Hoc Networks

Rajneesh KumarGujral, Manpreet Singh, Sanjeev Kumar Rana
2012 International Journal of Computer Applications  
A new family of algorithms inspired by Swarm Intelligence has come into existence to provide route optimization through routing load distribution.  ...  Each node is also a router that forwards data packets to its proper destination.  ...  Swarm intelligence is a relatively new approach to problem solving that takes inspiration from the social behavior of insects and of other animals.  ... 
doi:10.5120/4819-7068 fatcat:7rwulccevjeelaoektyx57ewoq

Local control of cognitive radio networks

Christian Doerr, Dirk Grunwald, Douglas C. Sicker
2009 Annales des télécommunications  
We have implemented a working prototype showing the feasibility of this technique in two simulation environments and in a hardware testbed, and find that a solution based on swarm intelligence is well  ...  This technique is built upon the principles of swarm intelligence, as seen in schools of fish and flocks of birds, and allows for efficient and robust coordination of a cognitive radio network in a variety  ...  a sufficient degree of average hop counts.  ... 
doi:10.1007/s12243-009-0102-5 fatcat:25uwymf4fbgdrlvp7u2mqlfusy

Bio-Mimic Optimization Strategies in Wireless Sensor Networks: A Survey

Md. Adnan, Mohammd Razzaque, Ishtiaque Ahmed, Ismail Isnin
2013 Sensors  
In conventional optimization approaches, the methods need to comply with the structure of the objective function which is to be solved [2], but sometimes the derivative of the objective function cannot  ...  For the last two decades bio-mimetic strategies have been widely used to solve these issues as they can solve non-differential nonlinear objective functions which are really hard to find using classical  ...  Acknowledgments Authors would like to thank Universiti Teknologi Malaysia and Ministry of Higher Education, Malaysia for sponsoring this research under vote numbers: 4D062, 07J04, and 08J35.  ... 
doi:10.3390/s140100299 pmid:24368702 pmcid:PMC3926559 fatcat:lndlgfl2ajflxhvninklnukww4

MINDS: Mobile Agent Itinerary Planning Using Named Data Networking in Wireless Sensor Networks

Saeid Pourroostaei Ardakani
2021 Journal of Sensor and Actuator Networks  
The mobile agents utilise a modified version of the Depth-First Search algorithm to move through the tree infrastructure according to a hop-count-aware fashion.  ...  In turn, a named data networking approach is used to form the cluster-heads as a data-centric, tree-based communication infrastructure.  ...  This utilises glow-worm swarm optimisation to route drones over a field of randomly located 3D objects. The target is to find an optimal path to fly over the field with no collisions.  ... 
doi:10.3390/jsan10020028 doaj:740c41f157b044d98671a559c762ada7 fatcat:ex7eyynqcvcs5dndsm37kuedxu

Modeling of Explainable Artificial Intelligence for Biomedical Mental Disorder Diagnosis

Anwer Mustafa Hilal, Im鑞e ISSAOUI, Marwa Obayya, Fahd N. Al-Wesabi, Nadhem NEMRI, Manar Ahmed Hamza, Mesfer Al Duhayyim, Abu Sarwar Zamani
2022 Computers Materials & Continua  
In order to ensure a better ASD diagnostic outcome, a series of simulation process was conducted on ASD dataset.  ...  The abundant existence of both structured and unstructured data and rapid advancement of statistical models stressed the importance of introducing Explainable Artificial Intelligence (XAI), a process that  ...  FS is modelled as a multi-objective optimization issue but two differing objectives are achieved i.e., less count of FS and superior classifier accuracy.  ... 
doi:10.32604/cmc.2022.022663 fatcat:r5rreccsu5babh5d3zexm53w64
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