Search Results - subject:"learning algorithm"

Collusion via algorithms : Comparative analysis and the way forward

Rahim, Mohsin - 2022

The technological advancement at an unprecedented pace has resulted in legislation and regulation failing to keep up with new challenges faced by the consumers. The legislators and regulators are consequently struggling to amend provisions. In the traditional sense, collusion is ‘amongst’...

Persistent link: https://www.econbiz.de/10014081661

Algorithms, Artificial Intelligence and Simple Rule Based Pricing

Wang, Qiaochu; Huang, Yan; Singh, Param Vir - 2022

that the Q-learning algorithm has a significant advantage over simple rule-based pricing algorithms; therefore, in a …. We find that when a Q-learning algorithm competes against a rule-based pricing algorithm, higher prices are sustained in … algorithm to more effectively search for the optimal policy benefiting both sellers. Further, the experimental phase where the Q-learning …

Persistent link: https://www.econbiz.de/10014081766

Hierarchical Clustering-Based Algorithms for Optimal Waste Collection Point Locations in Large-Scale Problems : A Framework Development and Case Study

Viktorin, Adam; Hrabec, Dušan; Nverlý, Vlastimír; … - 2022

The cities face the challenge of optimizing investments into waste management to meet the EU standards while maintaining economic affordability. One of the issues is the optimal location for specialized waste collection points. The main target is to find the lowest number of collection points...

Persistent link: https://www.econbiz.de/10014082377

Branch-and-Bound Algorithm for Solving it Technician Scheduling Problems with Minimum Total Delay Considering Task Release Time

liu, Hengling; Liu, Zhenyuan; Chen, Ruiying - 2022

For the scheduling needs of technicians in IT operations and maintenance services, a study was conducted with the objective of minimizing the total delay of heterogeneous technicians for independent service tasks. An IT technician scheduling model considering task release time is established,...

Persistent link: https://www.econbiz.de/10014082437

A Multi-Start Biased-Randomized Algorithm for Solving The 3-Dimensional Case Picking Problem

Neroni, Mattia - 2022

This paper introduces the 3-dimensional case picking problem (3D-CPP) and proposes an algorithm to solve it. The 3D-CPP combines two important topics in modern warehouse logistics: the pallet loading problem and the routing of pickers in manual warehouses. The proposed optimization procedure...

Persistent link: https://www.econbiz.de/10014082651

Improved Cuckoo Algorithm for the Hybrid Flow-Shop Scheduling Problem in Sand Casting Enterprises Considering Batch Processing

Li, Xixing; Guo, Xing; Tang, Hongtao; Wu, Rui; Liu, Jiayi - 2022

To solve the hybrid flow-shop scheduling problem in sand casting enterprises with multivariety and multistage production characteristics, an improved cuckoo algorithm was developed. First, considering the “single-batch” coupling relationship in the production process, a single-layer coding...

Persistent link: https://www.econbiz.de/10014083470

Coordinated Vehicle Platooning with Fixed Routes : Adaptive Time Discretization, Strengthened Formulations and Approximation Algorithms

Luo, Fengqiao - 2022

We consider the coordinated vehicle platooning problem over a road network with time constraints and the routes of vehicles are given. The problem is to coordinate the departure time of each vehicle to enable platoon formation hence maximizing the total fuel saving. We first focus on the case...

Persistent link: https://www.econbiz.de/10014083630

Prediction of Stock Market Prices using Prediction algorithm and Sentiment Analysis

Shaikh, Aryan; Shinde, Sandip - 2022

Stock market has fascinated thousands of investors’ hearts from entire globe. Prediction of the stock exchange data is main monetary subject which has involvement of supposition that, there is some predictive relation between past and future stock returns. An every indusial should know that...

Persistent link: https://www.econbiz.de/10014084265

A Clustering Algorithm for Financial Time Series Correlation Quickest Hub Discovery Mixing Time Evolution and Random Matrix Theory

Rodriguez Dominguez, Alejandro - 2022

In this work we present a new method for Quickest Change Detection (QCD) and Quickest Hub Discovery (QHD) in correlation structures that geometrically represents solutions from asymptotic Random Matrix theory (RMT) consistently, and allows to incorporate new distance metrics for both tests. We...

Persistent link: https://www.econbiz.de/10014084356

Resources Synchronization in a Full Truck-Load Pickup and Delivery Problem : An Exact Approach

Melchiori, Luciana; Nasini, Graciela; Corsano, Gabriela; … - 2022

For many industries, logistic activities encompass an important part of the total costs and sometimes, the success of the company strongly depends on the performance of these activities. Counting on a good transportation plan is a key issue to obtain desirable achievements. In general, these...

Persistent link: https://www.econbiz.de/10014084930