In this paper we propose an algorithm for the solution of optimalcontrol problems with nonlinear models based on a generalised Gauss-Newton algorithm but making use of analytic model derivatives. Themethod is implemented in WinSolve, a general nonlinear model solution program

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’...

Automated pricing comes in two forms - rule-based (e.g., targeting or undercutting the lowest price, etc) and artificial intelligence (AI) powered algorithms (e.g., reinforcement learning (RL) based). While rule-based pricing is the most widely used automated pricing strategy today, many...

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...

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,...

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...

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...

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...

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...

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...