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234 articles for “Genetic Approach”
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EditorialOpen accessIn the abstractProtecting crop species from biotic and abiotic constraints in the era of Global Change: are we ready for this challenge?Marco Landi, Giovanni BenelliReliable and affordable supply of food is of crucial importance to the progress and stability of human societies. During the last century, we have assisted to an extraordinary increase of crop yields, especially for the most widespread and consumed crop species, such as rice, wheat, corn and soybean. The Broadbalk experiment, one of the oldest continuous agronomic experiments in the … …American Journal of Agricultural and Biological Sciences, Vol. 11, Issue 2 · 4 Jun 2016 · 8,402 accessesView PDFCite
Research ArticleOpen accessIn the abstractProposal of a Genome Editing System for Genetic Resistance to Tomato Spotted Wilt VirusFederico Martinelli, Giovanni Grillone, Filippo SgroiViruses provoke considerable economical losses in agriculture. New molecular approaches to develop genetic resistance based on translational genomics and precision genetic modifications are highly expected. The type II Clustered, Regularly Interspaced Palindromic Repeats (CRISPR) system including Cas9 nuclease represent a promising and very powerful tool to specifically modulate the expression and activity of genes involved in biotic stress responses. In … …American Journal of Applied Sciences, Vol. 11, Issue 11 · 7 Jan 2015 · 7,689 accessesView PDFCite
Research ArticleOpen accessIn the abstractA GENETIC ALGORITHM FOR A SIMULTANEOUS OPTIMISATION OF COST-RISK REDUCTION UNDER A JUST-IN-TIME ADAPTIONFaraj El Dabee, Romeo Marian, Yousef AmerJust-In-Time (JIT) as a lean manufacturing approach plays a significant role in minimising costs and performances of products and services supplied to the global marketplace. However, there are many potential risks that cause significant disruptions to all supply chain members. This study proposes a genetic approach for optimising a novel mathematical model for simultaneously minimising the total cost of a … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Dec 2014 · 7,695 accessesView PDFCite
Research ArticleOpen accessIn the abstractIMPROVING QUALITY OF SERVICE IN MOBILE ADHOC NETWORKS FOR PROACTIVE AND REACTIVE PROTOCOLS USING GENETIC ALGORITHMM. Pushpavalli, A. M. NatarajanNow-a-days finding a path from source to destination for practical multimedia applications by satisfying the QoS requirement is a big challenge. Achieving quality of service in a mobile adhoc network is an NP complete problem due to its dynamic nature of the network and limited resource availability. In this study, we propose a new QoS module which uses genetic algorithm … …American Journal of Applied Sciences, Vol. 11, Issue 7 · 9 Sep 2014 · 6,399 accessesView PDFCite
Research ArticleOpen accessIn the abstractA LOAD BALANCING MODEL USING FIREFLY ALGORITHM IN CLOUD COMPUTINGA. Paulin Florence, V. ShanthiCloud computing is a model that points at streamlining the on-demand provisioning of software, hardware and data as services and providing end-users with flexible and scalable services accessible through the Internet. The main objective of the proposed approach is to maximize the resource utilization and provide a good balanced load among all the resources in cloud servers. Initially, a load … …Journal of Computer Science, Vol. 10, Issue 7 · 15 Feb 2014 · 8,770 accessesView PDFCite
Research ArticleOpen accessIn the abstract“OPTIMIZATION OF MULTI-COMMODITIES CONSUMER SUPPLY CHAINS FOR-PART I-MODELING”Zeinab Haji Abolhasani, Romeo M. Marian, Lee LoungThis study and its companions (Part II, Part III) will concentrate on optimizing a class of supply chain problems known as Multi-Commodities Consumer Supply Chain (MCCSC) problem. MCCSC problem belongs to Production-Distribution (P-D) planning category. It aims to determine facilities location, consumers’ allocation and facilities configuration to minimize total Cost (CT) of the entire network. These facilities can be manufacturer … …Journal of Computer Science, Vol. 9, Issue 12 · 26 Nov 2013 · 7,852 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimal Control Algorithms for Second Order SystemsDanilo Pelusi, Raffaele MascellaProportional Integral Derivative (PID) controllers are widely used in industrial processes for their simplicity and robustness. The main application problems are the tuning of PID parameters to obtain good settling time, rise time and overshoot. The challenge is to improve the timing parameters to achieve optimal control performances. Remarkable findings are obtained through the use of Artificial Intelligence techniques as … …Journal of Computer Science, Vol. 9, Issue 2 · 2 Apr 2013 · 7,034 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign of Speed Controller for Permananent Magnet Synchronous Motor Drive Using Genetic Algorithm Based Lower Order System ModellingK. Ayyar, K. Ramesh, G. GurusamyProblem statement: In this study, a Model Order Reduction (MOR) method is proposed for reducing higher order system into lower order system. Speed controller design is carried out to the lower order system by Genetic Algorithm (GA) approach and this controller is used to higher order system. Approach: This study is used to find a solution to a given objective … …Journal of Computer Science, Vol. 8, Issue 10 · 28 Aug 2012 · 6,834 accessesView PDFCite
Research ArticleOpen accessIn the abstractScheduling of Automated Guided Vehicle and Flexible Jobshop using Jumping Genes Genetic AlgorithmP. Paul Pandian, S. Saravana Sankar, S. G. Ponnambalam, M. Victor RajProblem statement: Now a day’s many researchers try Genetic algorithm based optimization to find near optimal solution for flexible job shop. It is a global search. In Our study in the GA, some changes are made to search locally and globally by adding jumping genes operation. A typical flexible job shop model is considered for this research study. For that … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 25 Aug 2012 · 7,311 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybridization of Genetic Algorithm with Parallel Implementation of Simulated Annealing for Job Shop SchedulingThamilselvan Rakkiannan, Balasubramanie PalanisamyProblem statement: The Job Shop Scheduling Problem (JSSP) is observed as one of the most difficult NP-hard, combinatorial problem. The problem consists of determining the most efficient schedule for jobs that are processed on several machines. Approach: In this study Genetic Algorithm (GA) is integrated with the parallel version of Simulated Annealing Algorithm (SA) is applied to the job shop … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 25 Aug 2012 · 7,062 accessesView PDFCite