Many systems or applications have been developed for distributed environments with the
goal of attaining multiple objectives in the face of environmental challenges such as high …

The evolution of cellular networks is driven by the dream of ubiquitous wireless connectivity:
any data service is instantly accessible everywhere. With each generation of cellular …

Large-scale systems are often characterized by hierarchical structure, and they usually have
multiple objectives that are noncommensurable. Two well-known approaches to the analysis …

The interests in multiobjective and many-objective optimization have been rapidly
increasing in the evolutionary computation community. However, most studies on …

To assist readers to have a comprehensive understanding, the classical and intelligent
methods roundly based on precursory research achievements are summarized in this paper …

Abstract Francis Y. Edgeworth (1845-1926) and Vilfredo Pareto (1848-1923) are credited for
first introducing the concept of non-inferiority in the context of economics. Since then …

We dwell in largely non-technical terms on the essential differences between single-
objective optimization and multiple-objective optimization. We argue in particular that single …

In dealing with the expensive multiobjective optimization problem, some algorithms convert
it into a number of single-objective subproblems for optimization. At each iteration, these …

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

The multi-objective optimization methods are traditionally based on Pareto dominance or
relaxed forms of dominance in order to achieve a representation of the Pareto front …