We compare two multiobjective evolutionary algorithms, with deterministic gradient based optimization methods for the dose optimization problem in high-dose rate (HDR) brachythera...
Natasa Milickovic, Michael Lahanas, Dimos Baltas, ...
Federated digital libraries are composed of distributed, autonomous, and often heterogeneous information services but provide users with a transparent, integrated view of collected...
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy but may behave differently due to position-dependent inputs. All...
This paper discusses a Genetic Algorithm-based method of generating test vectorsfor detecting faults in combinational circuits. The GA-based approach combines the merits of two te...
Abstract-- This study points out some weaknesses of existing Quantum-Inspired Evolutionary Algorithms (QEA) and explains in particular how hitchhiking phenomenons can slow down the...
Michael Defoin-Platel, Stefan Schliebs, Nikola Kas...