VLMOO: A framework for benchmarking Variable-length Multiobjective Optimization problems with WSN focus
Ahmed Mahdi Jubair, Rosilah Binti Hassan, Hasimi Sallehudin, Zeyad Ghaleb Al-Mekhlafi, Badiea Abdulkarem Mohammed, Mohammad Salih Alsaffar · Software Impacts · 2021
Wireless Sensor Network (WSN) management has several NP-hard optimization problems with multiobjective space and variable solution space nature. Such problems are considered challenging and require a carefully developed and well-understood algorithm in behavior and performance. This article presents an open-source benchmarking framework that enables comparison within supporting multiobjective optimization metrics and networking measures. As the first of its type, the framework is designated as Variable-length Multiobjective Optimization (VLMOO). It includes three sets of mathematical benchmarking problems, WSN deployment problem with multiobjective, and variable-length nature. It is extensible and flexible in enabling interfacing with other algorithms with rich visualization graphs generation for the metrics.