Complexity and variety of modern multiobjective optimisation problems result in the
emergence of numerous search techniques, from traditional mathematical programming to …

The hypervolume indicator is one of the most used set-quality indicators for the assessment
of stochastic multiobjective optimizers, as well as for selection in evolutionary multiobjective …

Hypervolume is widely used as a performance indicator in the field of evolutionary
multiobjective optimization (EMO). It is used not only for performance evaluation of EMO …

We study the problem of generating diverse candidates in the context of Multi-Objective
Optimization. In many applications of machine learning such as drug discovery and material …

Security is crucial for industrial wireless sensor networks (IWSNs); therefore, in this article,
we simultaneously consider the security, lifetime, and coverage issues by deploying sensor …

Having developed multiobjective optimization algorithms using evolutionary optimization
methods and demonstrated their niche on various practical problems involving mostly two …

In the last decades, a large number of metrics has been proposed to compare the
performance of different evolutionary approaches in multi-objective optimization. This …

Problems with multiple objectives arise in a natural fashion in most disciplines and their
solution has been a challenge to researchers for a long time. Despite the considerable …

In the field of evolutionary multi-criterion optimization, the hypervolume indicator is the only
single set quality measure that is known to be strictly monotonic with regard to Pareto …

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 …