We propose Alternating-time Dynamic Logic (ADL) as a multi-agent variant of Dynamic Logic in which atomic programs are replaced by coalitions. In ADL, the Dynamic Logic operators ...
We investigate the problem of allocating items (private goods) among competing agents in a setting that is both prior-free and paymentfree. Specifically, we focus on allocating mu...
In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. However, most...
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
Femtocell technology has been drawing considerable attention as a cost-effective means of improving cellular coverage and capacity. However, under co-channel deployment, femtocell...