Abstract We investigated the influence of visual sensitivity on performance an imitation task with robot R1 in its virtual and physical forms. Virtual embodiments offer different sensory experience to users. As all individuals respond differently their environment, may play a role interaction robot. Investigating how can interactions appears be helpful tool evaluate design such interactions. He...

Hypervolume contribution is an important concept in evolutionary multi-objective optimization (EMO). It involves hypervolume-based EMO algorithms and hypervolume subset selection algorithms. Its main drawback that it computationally expensive high-dimensional spaces, which limits its applicability to many-objective optimization. Recently, R2 indicator variant (i.e., R2HVC indicator) proposed ap...

Evolutionary algorithms are popular for multiobjective optimisation (also called Pareto optimisation) as they use a population to store trade-offs between different objectives. Despite their popularity, the theoretical foundation of evolutionary (EMO) is still in its early development. Fundamental questions such benefits crossover operator not fully understood. We provide analysis well-known EM...

Exporting manufacturers often choose both integrated and independent channels to sell a product in foreign market. This is called dual distribution markets or export channels. The purpose of this study employ capability theory examine the effects two factors, namely market orientation (EMO) entrepreneurial (EEO) capability, on choice use also examines moderating cultural distance relationship b...

Machine learning models have liberated manpower greatly in many real-world tasks, but their predictions are still worse than humans on some specific instances. To improve the performance, it is natural to optimize machine take decisions for most instances while delivering a few tricky humans, resulting problem of Human Assisted Learning (HAL). Previous works mainly formulated HAL as constrained...

The modeling of human emotion expression in speech signals is an important, yet challenging task. high resource demand recognition models, combined with the general scarcity emotion-labelled data are obstacles to development and application effective solutions this field. In paper, we present approach jointly circumvent these difficulties. Our method, named RH-emo, a novel semi-supervised archi...

Abstract. This paper examines the effect of crossover operations on the performance of EMO algorithms through computational experiments on knapsack problems and flowshop scheduling problems using the NSGA-II algorithm. We focus on the relation between the performance of the NSGA-II algorithm and the similarity of recombined parent solutions. First we show the necessity of crossover operations t...

Tujuan dari pendidikan kewirausahaan untuk anak usia dini yakni menjadikan peserta didik menjadi orang yang pandai, kreatif dan inovatif sekaligus memiliki jiwa pemberani, suka menerima tantangan, berani mengambil resiko tidak mudah pesimis. Penelitian dilakukan di PAUD TPQ Rochmatul Ummah Purwosari Kudus. Responden dalam penelitian ini adalah ada Kudus dengan tujuan memberikan inovasi kepada s...

NSGA-II and its contemporary EMO algorithms were found to be vulnerable in solving many-objective optimization problems having four or more objectives. It is not surprising that EMO researchers have been concentrating in developing efficient algorithms for manyobjective optimization problems. Recently, authors suggested an extension of NSGA-II (NSGA-III) which is based on the supply of a set of...