|
|
|
|
|
Dragan Pamucar, Nikola Kne?evic, Dragana Macura, Boban Ðorovic
Research Question: The paper explores the problem of defining the number of required employees and their skills, as well as optimizing the work time. Motivation: Motivation for this paper arises from the fact that an organizational structure of business ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xin Liao and Khoi D. Hoang
Distributed Constraint Optimization Problems (DCOPs) are an efficient framework widely used in multi-agent collaborative modeling. The traditional DCOP framework assumes that variables are discrete and constraint utilities are represented in tabular form...
ver más
|
|
|
|
|
|
|
|
|
|
|
Daniel Gugerell, Benedikt Gollan, Moritz Stolte and Ulrich Ansorge
Task batteries mimicking user tasks are of high heuristic value. Supposedly, they measure individual human aptitude regarding the task in question. However, less is often known about the underlying mechanisms or functions that account for task performanc...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nassim Belmecheri, Noureddine Aribi, Nadjib Lazaar, Yahia Lebbah and Samir Loudni
Pattern mining is a valuable tool for exploratory data analysis, but identifying relevant patterns for a specific user is challenging. Various interestingness measures have been developed to evaluate patterns, but they may not efficiently estimate user-s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Diamantis Karakatsanis, Thomas Patsialis, Kyriaki Kalaitzidou, Ioannis Kougias, Maria Margarita Ntona, Nicolaos Theodossiou and Nerantzis Kazakis
The optimization of dam operations to transform them into multi-objective facilities constitutes a challenge for both hydrology, hydrogeology, and hydropower generation. However, the use of the optimal algorithm for such transformation is critically impo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pramod Abichandani, Deepan Lobo, Meghna Muralidharan, Nathan Runk, William McIntyre, Donald Bucci and Hande Benson
This work demonstrates distributed motion planning for multi-rotor unmanned aerial vehicle in a windy outdoor environment. The motion planning is modeled as a receding horizon mixed integer nonlinear programming (RH-MINLP) problem. Each quadrotor solves ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aqsa Sayeed, Chaman Verma, Neerendra Kumar, Neha Koul and Zoltán Illés
The Internet of robotic things (IoRT) is the combination of different technologies including cloud computing, robots, Internet of things (IoT), artificial intelligence (AI), and machine learning (ML). IoRT plays a major role in manufacturing, healthcare,...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aitak Shaddeli, Farhad Soleimanian Gharehchopogh, Mohammad Masdari and Vahid Solouk
The African Vulture Optimization Algorithm (AVOA) is inspired by African vultures? feeding and orienting behaviors. It comprises powerful operators while maintaining the balance of exploration and efficiency in solving optimization problems. To be used i...
ver más
|
|
|
|
|
|
|
|
|
|
|
Quan Zhang, Shiyu Du, Yiming Zhang, Hongzhuo Wu, Kai Duan and Yanru Lin
The Chimp Optimization Algorithm (ChOA) is a heuristic algorithm proposed in recent years. It models the cooperative hunting behaviour of chimpanzee populations in nature and can be used to solve numerical as well as practical engineering optimization pr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiping An, Xinhong Li, Zhibin Zhang, Guohui Zhang, Wanxin Man, Gangxuan Hu, Junwei He and Dingzhan Yu
Space modular self-reconfigurable satellites (SMSRSs) are a new type of satellite with reconfigurable structures and adjustable functions. The inverse kinematics of the hyper-redundant structure of SMSRSs are difficult to solve by traditional methods. In...
ver más
|
|
|
|
|
|