Research ArticleOpen accessIn the abstractBio-inspired Search Approach Cross-Domain Location Mapping for Smart Mobile Service SystemIsrael Edem Agbehadji, Abdultaofeek Abayomi, Murimo B. Mutanga et al.The health care service sector is very critical in every country. Although governments have made significant efforts to improve health infrastructure and train more qualified health professionals, the majority of them cannot find jobs within public health facilities. Furthermore, patients queue at health care facilities for hours daily for basic health care services while job creation and reducing these long … …Journal of Computer Science, Vol. 18, Issue 4 · 26 Apr 2022 · 6,158 accessesView PDFCite
Research ArticleOpen accessIn the abstractModified ACS Centroid Memory for Data ClusteringAyad Mohammed Jabbar, Ku Ruhana Ku-Mahamud, Rafid SagbanAnt Colony Optimization (ACO) is a generic algorithm, which has been widely used in different application domains due to its simplicity and adaptiveness to different optimization problems. The key component that governs the search process in this algorithm is the management of its memory model. In contrast to other algorithms, ACO explicitly utilizes an adaptive memory, which is important to … …Journal of Computer Science, Vol. 15, Issue 10 · 11 Oct 2019 · 7,641 accessesView PDFCite
Research ArticleOpen accessIn the abstractDocument Clustering Based on Firefly AlgorithmAthraa Jasim Mohammed, Yuhanis Yusof, Husniza HusniDocument clustering is widely used in Information Retrieval however, existing clustering techniques suffer from local optima problem in determining the k number of clusters. Various efforts have been put to address such drawback and this includes the utilization of swarm-based algorithms such as particle swarm optimization and Ant Colony Optimization. This study explores the adaptation of another swarm algorithm which … …Journal of Computer Science, Vol. 11, Issue 3 · 26 Mar 2015 · 7,510 accessesView PDFCite
Research ArticleOpen accessIn the abstractGENETIC-BASED NUTRITION RECOMMENDATION MODELS. A.A. Fayoumi, A. A. Hegazy, M. A. BelalEvolutionary computing is the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. These techniques are being widely applied to a variety of problems in many vital fields. Also, Evolutionary Algorithms (EA) which applied the principles of Evolutionary computations, such as genetic algorithm, particle swarm, ant colony and … …Journal of Computer Science, Vol. 10, Issue 9 · 24 Apr 2014 · 6,854 accessesView PDFCite
Research ArticleOpen accessIn the abstractA SURVEY: PARTICLE SWARM OPTIMIZATION-BASED ALGORITHMS FOR GRID COMPUTING SCHEDULING SYSTEMSFaruku Umar Ambursa, Rohaya LatipBio-inspired heuristics have been promising in solving complex scheduling optimization problems. Several researches have been conducted to tackle the problems of task scheduling for the heterogeneous and dynamic grid systems using different bio-inspired mechanisms such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO). PSO has been proven to have a relatively more promissing performance in dealing … …Journal of Computer Science, Vol. 9, Issue 12 · 25 Nov 2013 · 6,656 accessesView PDFCite
Research ArticleOpen accessIn the abstractSECURING MOBILE ANT AGENT USING CHINESE REMAINDER THEOREMSrinath Doss, Janet JeyarajRecent days, research in wireless network becomes major area for the past few decades. In wireless routing many routing methods such as table driven, source driven; many characteristics such as reactive routing, proactive routing; many routing algorithms such as dijikstra’s shortest path, distributed bell-man ford algorithm are proposed in the literature. For effective wireless routing, the recent ant colony optimization … …Journal of Computer Science, Vol. 9, Issue 9 · 6 Aug 2013 · 6,560 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Ant-Based Clustering Algorithm with Cluster Analysis TechniquesWafa’a Omar, Amr Badr, Abd El-Fattah HegazyCluster analysis is a data mining technology designed to derive a good understanding of data to solve clustering problems by extracting useful information from a large volume of mixed data elements. Recently, researchers have aimed to derive clustering algorithms from nature’s swarm behaviors. Ant-based clustering is an approach inspired by the natural clustering and sorting behavior of ant colonies. In … …Journal of Computer Science, Vol. 9, Issue 6 · 7 Jun 2013 · 7,306 accessesView PDFCite
Research ArticleOpen accessIn the abstractTasks Scheduling using Ant Colony OptimizationA. P. Shanthi, G. Umarani Srikanth, V. Uma Maheswari, Arul SiromoneyProblem statement: Efficient scheduling of the tasks to heterogeneous processors for any application is critical in order to achieve high performance. Finding a feasible schedule for a given task set to a set of heterogeneous processors without exceeding the capacity of the processors, in general, is NP-Hard. Even if there are many conventional approaches available, people have been looking at … …Journal of Computer Science, Vol. 8, Issue 8 · 25 Jul 2012 · 7,668 accessesView PDFCite
Research ArticleOpen accessIn the abstractMobile Anonymous Trust Based Routing Using Ant Colony OptimizationR. Kalpana, N. RengarajanProblem statement: Ad hoc networks are susceptible to malicious attacks through denial of services, traffic analysis and spoofing. The security of the ad hoc routing protocol depends upon encryption, authentication, anonymity and trust factors. End-to-end security of data is provided by encryption and authentication, topology information of the nodes can be obtained by studying traffic and routing data. This security … …American Journal of Applied Sciences, Vol. 9, Issue 8 · 30 Jun 2012 · 6,946 accessesView PDFCite