The problem of simultaneously optimizing the information rate and harvested power in a reconfigurable intelligent surface (RIS)-aided multiple-input single-output downlink multiuser wireless network with simultaneous transfer (SWIPT) is addressed. beamforming vectors, RIS reflection coefficients, split ratios are jointly optimized subject to maximum constraints, minimum realistic constraints on...

For machining workshops that use automated guided vehicles (AGVs) for material handling and management, workstation layout AGV path are coupling factors affecting the cost (MHC). The multi-row is a typical pattern in many workshops, currently, there lack of studies on problem (MRLP) while taking into account path. This study established bi-objective optimization methodology integrating to minim...

This paper presents a modified Differential Evolution (DE) algorithm called OCMODE for solving multi-objective optimization problems. First, the initialization phase is improved by using the opposition based learning. Further, a time varying scale factor F employing chaotic sequence is used which helps to get a well distributed Pareto front by the help of non dominated and crowding distance sor...

maxsat is an optimization version of satisfiability. Since many practical problems involve optimization, there are a wide range of potential applications for effective maxsat solvers. In this paper we present an extensive empirical evaluation of a number of maxsat solvers. In addition to traditional maxsat solvers, we also evaluate the use of a state-of-the-art Mixed Integer Program (mip) solve...

Several indicator-based evolutionary multiobjective optimization algorithms have been proposed in the literature. The notion of optimal μ-distributions formalizes the optimization goal of such algorithms: find a set of μ solutions that maximizes the underlying indicator among all sets with μ solutions. In particular for the often used hypervolume indicator, optimal μ-distributions have been the...

The application scenarios and market shares of industrial robots have been increasing in recent years, with them comes a huge technical demand for robot-monitoring system (IRMS). With the development IoT cloud computing technologies, robot monitoring has entered era. However, data tasks characteristics large volume high information redundancy, need to occupy amount communication bandwidth archi...