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 …

Coevolving memetic algorithms are a family of metaheuristic search algorithms in which a
rule-based representation of local search (LS) is coadapted alongside candidate solutions …

Memetic Algorithms (MAs) are computational intelligence structures combining multiple and
various operators in order to address optimization problems. The combination and …

Over the last fifty years, the ability to carry out analysis as a precursor to decision making in
engineering design has increased dramatically. In particular, the advent of modern …

This paper addresses the integrated problem of process planning and scheduling in job
shop flexible manufacturing systems. Due to production flexibility, it is possible to generate …

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 …

This paper proposes a new evolutionary approach to deal with both balancing and
sequencing problems in mixed-model U-shaped lines. The use of U-shaped lines is an …

Cooperative coevolutionary algorithms (CEAs) offer great potential for concurrent multiagent
learning domains and are of special utility to domains involving teams of multiple agents …

Coevolutionary algorithms are variants of traditional evolutionary algorithms and are often
considered more suitable for certain kinds of complex tasks than noncoevolutionary …