An adaptive flower pollination algorithm for minimizing software testing redundancy

• Main Authors: M. N., Kabir, Ali, Jahan, Alsewari, Abdulrahman A., Kamal Z., Zamli
• Format: Conference or Workshop Item
• Language: English
• Published: 2017
• Subjects: QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/21027/1/31.%20An%20adaptive%20flower%20pollination%20algorithm%20for%20minimizing%20software%20testing%20redundancy.pdf; http://umpir.ump.edu.my/id/eprint/21027/; https://doi.org/10.1109/EICT.2017.8275215
• Institution: Universiti Malaysia Pahang

Optimization is the selection of a best set of parameters from available alternative sets. Global optimization is the task of finding the absolutely best set of parameters. In this paper, we present an adaptive flower pollination algorithm for solving an optimization problem, i.e., minimization of s...