Cooperative multi-agent systems (MAS) are ones in which several agents attempt, through
their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among the …

Evolutionary computation is emerging as a new engineering computational paradigm, which
may significantly change the present structural design practice. For this reason, an extensive …

This paper discusses the concept of business ecosystem. Business ecosystem is a relatively
new concept in the field of business research, and there is still a lot of work to be done to …

The field of evolutionary computation (EC) can no longer be considered an esoteric one.
Today, after about thirty years of research, a rich corpus of theory exists and many …

Coevolutionary algorithms behave in very complicated, often quite counterintuitive ways.
Researchers and practitioners have yet to understand why this might be the case, how to …

Coevolutionary algorithms approach problems for which no function for evaluating potential
solutions is present or known. Instead, algorithms rely on the aggregation of outcomes from …

Featured Application The proposed algorithm can be used in unconstrained multivariate
function optimization problems, multi-objective optimization problems and combinatorial …

Precise estimation of river flow in catchment areas has a significant role in managing water
resources and, particularly, making firm decisions during flood and drought crises. In recent …

The main benchmark problems in the cellular automata literature related to discovering rules
able to exhibit given target behaviours have been the density classification task and the …

While standard evolutionary algorithms employ a static, absolute fitness metric, co-
evolutionary algorithms assess individuals by their performance relative to populations of …