Search Results - (( development through evolution algorithm ) OR ( java loading optimization algorithm ))
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Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…This research proposes an enhancement of the ant colony optimization algorithm that caters for dynamic scheduling and load balancing in the grid computing system. …”
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Monograph -
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Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…This research proposes an Enhanced Ant Colony Optimization (EACO) algorithm that caters dynamic scheduling and load balancing in the grid computing system. …”
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Thesis -
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Resource allocation in coordinated multipoint long term evolution-advanced networks
Published 2015“…The resource allocation algorithm is developed through three phases, namely Low-Complexity Resource Allocation (LRA), Optimized Resource Allocation (ORA) and Cross-Layer Design of ORA (CLD-ORA). …”
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Special protection and control scheme based on generation rescheduling using differential evolution and electromagnetism-like algorithm
Published 2016“…This SPCS strategy, novel in the generation rescheduling application, is called as Differential Evolution with Adaptive Mutation (DEAM). The specific aims in employing DEAM-based SPCS are to investigate a strategy to resolve the line overloading issue through the N-1 contingency based on the load flow analysis and the severity index develop SPCS scheme through the generation rescheduling strategy based on the hybrid DEAM algorithm. …”
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Resource management in grid computing using ant colony optimization
Published 2011“…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
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Monograph -
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Harmonic Elimination Pulse Width Modulation Using Differential Evolution Technique For Three Phase Voltage Source Inverter
Published 2018“…Performance of the DE algorithm is highly affected by the mutant vector which is generated through a specific mutation process. …”
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Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter
Published 2019“…Cloudsim is used as Discrete Event Simulation tool and Java as coding language to evaluate LACE algorithm. …”
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Application of genetic algorithm and JFugue in an evolutionary music generator
Published 2025“…This project explores the application of Genetic Algorithms (GA) with JFugue, which is a Java-based music programming library to develop an Evolutionary Music Generator. …”
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Final Year Project / Dissertation / Thesis -
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Performance analyses of adaptive handover decision algorithm using spectrum aggregation in long term evolution - advanced network
Published 2021“…In this work, LTE-A network building and deployment as well as configuration management through radio resources allocation and system level performance evaluation for the Proposed TVWS, MIF and CONV handover decision algorithms were successfully carried out. …”
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Conference or Workshop Item -
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Agro-ento bioinformation: towards the edge of reality
Published 2002“…Bounded by such information advancement frames, domains of agro-forestry and entomology, and medicine, have witnessed progression through evolution, revolution, and bioinformation in their knowledge contents. …”
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Inaugural Lecture -
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Automating commercial video game development using computational intelligence
Published 2011“…Pac-man. The resulting algorithm is referred to as an Evolution Strategies Neural Network or ESNet. …”
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Article -
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Development of a Bioinspired optimization algorithm for the automatic generation of multiple distinct behaviors in simulated mobile robots
Published 2006“…A simulated Khepera robot is evolved by a Pareto-frontier Differential Evolution (POE) algorithm, and learned through a 3-layer feed-forward artificial neural network, attempting to simultaneously fulfill two conflicting objectives of maximizing robot phototaxis behavior while minimizing the neural network's hidden neurons by generating a Pareto optimal set of controllers. …”
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Research Report -
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Self-configured link adaptation using channel quality indicator-modulation and coding scheme mapping with partial feedback for green long-term evolution cellular systems
Published 2015“…To achieve this objective, an iterative approach based on swarm intelligence is used to find the optimal CQI threshold at which the competing criteria are optimized. Since the developed downlink scheduler and the partial feedback scheme affect the QoS, self-configured versions of both algorithms are developed to provide QoS provisioning. …”
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The exploration of hybrid metaheuristics-based approaches: A bibliometric analysis
Published 2025“…The rapid evolution of computational intelligence has driven significant interest in hybrid metaheuristics, which combine multiple optimization algorithms to solve complicated problems more efficiently. …”
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CONTEXT AWARE TRAFFIC SCHEDULING ALGORITHM FOR COMMUNICATION SYSTEM IN POWER DISTRIBUTION NETWORK
Published 2023“…In order to verify the advantages of the proposed algorithm, it is compared with simulation results without contextual aware algorithm. …”
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A modified group authentication scheme for machine type communication in LTE/LTE-a networks
Published 2018“…Machine-Type Communication (MTC), as one of the essential advancements of wireless communication, has become a new business development in mobile communication. Meeting the necessities of control usage of devices and mass implement transmission is a key issue in the implementation of MTC in the Long Term Evolution/Long Term Evolution Advanced systems. …”
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Intersection Features For Android Botnet Classification
Published 2019“…Many of IoT devices will be supposedly controlled through a mobile, giving application (apps) developers great opportunities in the development of new applications. …”
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