Search Results - (( developing effective strategy algorithm ) OR ( java implication based algorithm ))
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Iteration strategy and ts effect towards the performance of population based metaheuristics
Published 2020“…A researcher developing a new population-based algorithm need to identify the best strategy so that the performance of the algorithm proposed is maximized.…”
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Elitist hybrid migrating birds optimization and genetic algorithm based strategy for T-way test suite generation
Published 2020“…Addressing the aforementioned issues, this research proposes the development and implementation of hybrid t-way strategy based Migrating Birds Optimization Algorithm (MBO) and Genetic Algorithm (GA) with elitism, termed Elitist Hybrid MBO-GA. …”
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Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…ARDE algorithm makes use of JADE strategy and the MDE_pBX parameters adaptive schemes as frameworks. …”
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Development of efficient t-way test data generation algorithm and execution strategies
Published 2012“…And finally, (IV) MTTG (Multi-Tuple based T-way Test Data Generation) strategy is developed inspiring kids “Card Game” to overcome the limitations of interaction strength. …”
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An Orchestrated Survey on T-Way Test Case Generation Strategies Based on Optimization Algorithms
Published 2014“…This paper presents an orchestrated survey of the existing OpA t-way strategies as Simulated Annealing (SA), Genetic Algorithm (GA), Ant Colony Algorithm (ACA), Particle Swarm Optimization based strategy (PSTG), and Harmony Search Strategy (HSS). …”
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African buffalo optimization algorithm based t-way test suite generation strategy for electronic-payment transactions
Published 2022“…The need for effectiveness, therefore, necessi�tates the need for algorithm hybridization to deploy only the component parts of algorithms that have been proven to enhance overall search capabilities while at the same time eliminating the demerits of particular algorithms in the hybridiza�tion procedure. …”
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Multi-Objective Optimal Energy Management of Nanogrid Using Improved Pelican Optimization Algorithm
Published 2025“…In order to demonstrate the effectiveness of the proposed algorithm, The outcomes of the simulation are juxtaposed with results obtained from the initial Pelican Optimisation Algorithm (POA), the Bat Algorithm, and the Improved Differential Evolutionary (IDE) Algorithm. …”
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Experimental Model for Teaching Software Testing
Published 2015“…The EMTST framework is explained in details and along with the comparison of MBO algorithm with other pairwise strategies. In conclusion, this strategy with MBO can help students understand the concept and practical aspect of the development of a pairwise strategy and how to evaluate the effectiveness of the algorithm in AI-based pairwise strategy.…”
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Optimizing wireless sensor networks: A survey of clustering strategies and algorithms
Published 2024“…The discussion explains the strategies of different algorithms, advantages, and disadvantages. …”
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African Buffalo Optimization Algorithm Based T-Way Test Suite Generation Strategy for Electronic-Payment Transactions
Published 2021“…The need for effectiveness, therefore, necessitates the need for algorithm hybridization to deploy only the component parts of algorithms that have been proven to enhance overall search capa-bilities while at the same time eliminating the demerits of particular algorithms in the hybrid-ization procedure. …”
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Artificial Bee Colony Algorithm for Pairwise Test Generation
Published 2017“…In this paper, we evaluated and proposed a pairwise strategy named Pairwise Artificial Bee Colony algorithm (PABC). …”
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An Improved Spiral Dynamic Optimization Algorithm with Engineering Application
Published 2015“…An elimination-dispersal strategy of a bacterial foraging algorithm is adopted to solve the problem. …”
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Elitism Based Migrating Birds Optimization Algorithm for Optimization Testing
Published 2017“…As a comparison with the original MBO we also developed a strategy without elitism, namely MBO Testing Strategy (MTS). …”
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A new minimum pheromone threshold strategy (MPTS) for max-min ant system
Published 2009“…One of them is through the development of the max–min ant system (MMAS) algorithm. …”
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Extended bat algorithm for PID controller tuning of wheeled mobile robot and swarm robotics target searching strategy
Published 2020“…By applying the developed robot with PD controller, EBA prove its potentiality to develop the best target searching strategy to the swarm robotics system with 5 number of iterations within 49 seconds. …”
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