The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
Abstract— We prove that the number of Pareto-optimal solutions in any multiobjective binary optimization problem with a finite number of linear objective functions is polynomial...
-- In interconnect-dominated designs, the ability to minimize layout-induced parasitic effects is crucial for rapid design closure. Deep sub-micron effects and ubiquitous interfere...
This paper presents an applicable model for complex multiattribute negotiations between autonomous agents. The model adopts a novel protocol which decomposes the original n-dimens...
Geometric particle swarm optimization (GPSO) is a recently introduced generalization of traditional particle swarm optimization (PSO) that applies to all combinatorial spaces. The...