This paper studies the influence of elitism in Evolutionary Multiobjective Optimization. The true efficiency of inserting elitism in these algorithms was not yet sufficiently developed. Many algorithms for multiobjective optimization use different methods to keep the best individuals (the elite) founded on the duration of the search process. The problem is how this elitism can be preserved and,...

Elitism is a common concept in the standard Genetic Algorithm (GA), but one that has received little to no research when considered on spatial coevolutionary GAs. This paper attempts to address this by implementing and analyzing elitism mechanisms within a spatial coevolutionary system. To this end we develop a new globally selected local elitism and compare it with the more basic strictly non-...

This paper examines the degree of elitism of public education under two different social objectives. It illustrates a potential conflict between welfare and social mobility. In the absence of private supplementary education, utilitarian welfare increases with the degree of elitism of the public education system. On the other hand, elitism decreases the steady state proportion of heterogenous dy...

Though it has been claimed that elitism could improve evolutionary multi-objective search significantly, a thorough and extensive evaluation of its effects is still missing. Guidelines on how elitism could successfully be incorporated have not yet been developed. This paper presents a unified model of multi-objective evolutionary algorithms, in which arbitrary variation and selection operators ...

Elitism and sharing are two mechanisms that are believed to improve the performance of a multiobjective evolutionary algorithm (MOEA). Using a new empirical inquiry framework, this paper studies the effect of elitism and sharing design choices using a benchmark suite of two-criterion problems. Performance is assessed, via known metrics, in terms of both closeness to the true Pareto-optimal fron...