A reinforcement learning based path planning approach in 3D environment

G Kulathunga - Procedia Computer Science, 2022 - Elsevier
Optimal motion planning involves obstacles avoidance whereas path planning is the key to
success in optimal motion planning. Due to the computational demands, most of the path …

Enterprise resilience assessment—A quantitative approach

R Sanchis, R Poler - Sustainability, 2019 - mdpi.com
Enterprise resilience is a key capacity to guarantee enterprises' long-term continuity. This
paper proposes a quantitative approach to enhance enterprise resilience by selecting …

[PDF][PDF] Teknik Teknik Optimasi Knapsack Problem

RN Devita, AP Wibawa - Sains, Aplikasi, Komputasi dan Teknologi …, 2020 - core.ac.uk
Pengertian optimasi berhubungan erat dengan maksimasi, tetapi dengan batasan yang
constrain. Mengoptimumkan identik dengan memaksimum-kan dengan sumber daya …

Quantum algorithms for solving hard constrained optimisation problems

P Atchade-Adelomou - arXiv preprint arXiv:2202.13125, 2022 - arxiv.org
The thesis deals with Quantum Algorithms for solving Hard Constrained Optimization
Problems. It shows how quantum computers can solve difficult everyday problems such as …

Using the variational-quantum-eigensolver (vqe) to create an intelligent social workers schedule problem solver

P Atchade Adelomou, E Golobardes Ribé… - … Conference on Hybrid …, 2020 - Springer
The scheduling problem of social workers is a class of combinatorial optimization problems
that can be solved in exponential time at best. Because is belongs to class of problems …

The impact of charging strategies for electric vehicles on power distribution networks

P Stroehle, S Becher, S Lamparter… - … Conference on the …, 2011 - ieeexplore.ieee.org
This work investigates four different generic charging strategies for battery electric vehicles
(BEVs) with respect to their economic performance and their impact on the local power …

[PDF][PDF] Dynamic programming model based on cost minimization algorithms for thermal generating units

NS Tung, A Bhadoria, K Kaur, S Bhadauria… - International Journal of …, 2012 - Citeseer
Electricity companies normally run various units and they need to be committed because
electrical energy cannot be stored in a wide-scale systems and load demand is a random …

Managing a hybrid energy smart grid with a renewable energy source

HE Chakir, O Hamid, G Fouad - Asian Journal of Control, 2019 - Wiley Online Library
The aim of this work is to develop tools for optimal power flow management control in a
micro grid (MG). The latter consists of a wind turbine, energy storage system, two gas …

Constrained portfolio optimization with discrete variables: An algorithmic method based on dynamic programming

FV Jezeie, SJ Sadjadi, A Makui - Plos one, 2022 - journals.plos.org
Portfolio optimization is one of the most important issues in financial markets. In this regard,
the more realistic are assumptions and conditions of modelling to portfolio optimization into …

Comparative study on the magnetic properties of Fe-substituted Co2Sn1− x Fe x O4 spinel oxides and its exchange bias effect

W Ali, C Xinghan, Y Hongxia… - Journal of …, 2024 - xn--www-vt23b.iopscience.iop.org
Herein, we report the Fe-substituted Co 2 Sn 1− x Fe x O 4 (0⩽ x⩽ 0.4) inverse spinel's oxide
using the solid-state reaction method. X-ray reveals the single-phase cubic structure with …