Wireless sensor networks (WSNs) have attracted substantial research interest, especially in
the context of performing monitoring and surveillance tasks. However, it is challenging to …

In this article, we encompass an analysis of the recent advances in parallel genetic
algorithms (PGAs). We have selected these algorithms because of the deep interest in many …

The increasing complexity of real-world optimization problems raises new challenges to
evolutionary computation. Responding to these challenges, distributed evolutionary …

This paper describes jMetal, an object-oriented Java-based framework aimed at the
development, experimentation, and study of metaheuristics for solving multi-objective …

Evolutionary algorithms are widely used for solving multiobjective optimization problems but
are often criticized because of a large number of function evaluations needed …

An important consideration of multiobjective optimization (MOO) is the quantitative metrics
used for defining the optimality of different solution sets, which is also the basic principle for …

jMetal, an open source, Java-based framework for multi-objective optimization with
metaheuristics, has become a valuable tool for many researches in the area as well as for …

Fog computing is receiving considerable attention in the research community to deliver
computing resources for Internet of Things (IoT) devices. With rapid advancements in IoT, it …

This paper presents a modular framework for meta-heuristic optimization of complex
optimization tasks by decomposing them into subtasks that may be designed and developed …

We present an integrated algorithm for simultaneous feature selection (FS) and designing of
diverse classifiers using a steady state multiobjective genetic programming (GP), which …