The experiment results involving six subject programs show that MOMPSO method can outer perform with respect to both reduction rate (90.78% to 100%) and failure ...
The experiment results involving six subject programs show that MOMPSO method can outer perform with respect to both reduction rate (90.78% to 100%) and failure ...
Detailed Record ; Title: Multi-Objective Modified Particle Swarm Optimization for Test Suite Reduction (MOMPSO). ; Language: English ; Authors: Geetha, U.
Multi-Objective Modified Particle Swarm Optimization for Test Suite Reduction (MOMPSO). https://doi.org/10.32604/csse.2022.022621.
(PDF) A Multi-Goal Particle Swarm Optimizer for Test Case ...
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The goal of this paper is to classify and compare the performance of two nature-based test case prioritization techniques: To overcome the problem of needing to ...
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The objective of this paper is to show that we can empirically adjust the PSO parameters to optimize PSO for the best results. Through several iterative ...
Then, based on the multi-objective optimization algorithm, the resource balance model of mechanical engineering project is designed and the model is tested. The ...
This function performs a Multi-Objective Particle Swarm Optimization (MOPSO) for minimizing continuous functions.
Multi-objective modified particle swarm op- timization for test suite reduction (mompso), Comput. Syst. Sci. Eng. 42(3) (2022), 899–917. [16] Guizzo, G ...
Abstract: This paper presents an algorithm based on Multi-objective modified Particle Swarm Optimization. (MOMPSO) for determining optimal locations and ...