Search Results - (( variable generation based algorithm ) OR ( normal optimization sensor algorithm ))
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Whale optimization algorithm based on tent chaotic map for feature selection in soft sensors
Published 2025“…One of the powerful optimization algorithms that is used for feature selection is the Whale Optimization Algorithm (WOA), which is a nature-inspired metaheuristic optimization algorithm that mimics the social behavior of humpback whales. …”
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Energy Efficient Multi Hierarchy Clustering Protocol for Wireless Sensor Network (EMHC)
Published 2010“…Clustering in normal sensor nodes is done by optimizing energy efficiency as well as coverage. …”
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A real-time algorithm of optical tactile sensor for surface characterization / Nurul Fathiah Mohamed Rosli
Published 2016“…Many advances have been made in terms of sensor technology for sensitivity optimization. Mostly available optical tactile sensors are bulky, inflexible and lack dexterity for applications with limited or space constraint. …”
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Dynamic positioning base station for wireless sensor network using particle swarm optimization (PSO)
Published 2012“…The positioning of base station is one of the methods to improve the overall performance of wireless sensor network. The base station is normally located far from the sensing area. …”
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Modelling of multi-robot system for search and rescue
Published 2023“…In this project, this sensor-based algorithm is known as the Obstacle Avoidance Algorithm. …”
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Optimal forwarding routing protocol in ipv6-based wireless sensor network
Published 2009“…WSNs become very important and being used widely especially in embedded applications. Normally, these applications require numerous low cost, low power and low data sensor nodes that communicating over multiple hop to cover a large geographical area. …”
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Adapting the Elitism on the Greedy Algorithm for Variable Strength Combinatorial Test Cases Generation
Published 2018“…This study presented the most recent variable interaction strength (VS) CT strategy using an enhanced variant in the greedy algorithm. …”
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Message based random variable length key encryption algorithm.
Published 2009“…In order to overcome analysis mentioned above a new algorithm is designed that is based on random numbers and also can defeat time and memory constraints. …”
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Improving Network Consistency and Data Availability Using Fuzzy C Mean Clustering Algorithm in Wireless Sensor Networks
Published 2024thesis::doctoral thesis -
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Adopting A Particle Swarm-Based Test Generator Strategy For Variable-Strength And T-Way Testing
Published 2011“…This thesis presents the design and implementation of a new interaction test generation strategy, known as the Particle Swarm-based Test Generator (PSTG), for generating t-way and variable-strength test suites. …”
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A variable combinatorial test suite strategy based on modified greedy algorithm
Published 2015“…This proposed will suggest a new CIT strategy based on a modified greedy algorithm (MGA) with addressing the supporting of variable strength interaction to generate a satisfactory test suite size.…”
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A firefly algorithm based hybrid method for structural topology optimization
Published 2020“…In this paper, a firefly algorithm based hybrid algorithm through retaining global convergence of firefly algorithm and ability to generate connected topologies of optimality criteria (OC) method is proposed as an alternative method to solve stress-based topology optimization problems. …”
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Optimization of hydropower reservoir operation based on hedging policy using Jaya algorithm
Published 2023Article -
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QoS BASED ENERGY EFFICIENT ROUTING IN WIRELESS SENSOR NETWORK
Published 2012“…Clustering within normal sensor nodes is done by optimizing the network/coverage lifetime through a cluster-head-selection algorithm and a sleep/wake scheduling algorithm. …”
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An experimental study of neighbourhood based metaheuristic algorithms for test case generation satisfying the modified condition / decision coverage criterion
Published 2018“…To generate test cases that satisfy MC/DC criterion, many researchers adopt neighborhood based meta-heuristics algorithms (including that of Simulated Annealing and Hill Climbing) as the problem itself is neighborhood based. …”
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Maximizing power generation in variable speed micro-hydro with power point tracking
Published 2022“…As such, this paper aims to explore and develop a feasible maximum power point tracker (MPPT) with perturb and observe (P&O) and genetic algorithm (GA) in providing optimal power generation for variable speed micro-hydro system. …”
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Proceedings -
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A new variable strength t-way strategy based on the cuckoo search algorithm
Published 2019“…Despite much progress, existing strategies have not sufficiently dealt with more than one interaction between input parameters (termed variable strength tway). Complementing existing works, this paper proposes a new variable strength cuckoo search algorithm, called VCS. …”
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