Airbnb price prediction using machine learning and sentiment analysis

P Rezazadeh Kalehbasti, L Nikolenko… - international cross-domain …, 2021 - Springer
Pricing a property and evaluating the proposed price for a property are challenges that,
respectively, owners and customers of Airbnb rentals face on a daily basis. This paper aims …

Integrated design and optimization of water-energy nexus: combining wastewater treatment and energy system

P Rezazadeh Kalehbasti, MD Lepech… - Frontiers in Sustainable …, 2022 - frontiersin.org
Designing more sustainable urban infrastructure is an essential topic in practice and
research. While many have tried to address this challenge by focusing on sustainability of …

Generative Models over Neural Controllers for Transfer Learning

J Butterworth, R Savani, K Tuyls - … on Parallel Problem Solving from Nature, 2022 - Springer
We introduce a technique that leverages the power of indirect encodings (IE) from the field of
evolutionary computation to improve the speed of evolution in transfer learning control tasks …

Inverse Multiobjective Optimization by Generative Model Prompting

J Liu, A Gupta, YS Ong, PS Tan - 2024 IEEE Conference on …, 2024 - ieeexplore.ieee.org
The integration of multiobjective optimizers with inverse models—that map points on the
Pareto front to corresponding nondominated solutions—has drawn attention. These inverse …

Manifolds & Memory Improving the Search Speed of Evolutionary Algorithms

J Butterworth - 2023 - search.proquest.com
Evolutionary Algorithms (EA) are a set of algorithms inspired by Darwin's theory of Natural
Selection that are well equipped to perform a wide variety of optimisation tasks. Due to their …

[图书][B] Design and Optimization of Integrated Water, Energy, and Transportation Infrastructure for Urban Sustainability

PR Kalehbasti - 2022 - search.proquest.com
Urban areas cover a small portion of the earth, yet they accommodate a majority of the world
population and are associated with a majority of the global energy use and greenhouse gas …

Generación de soluciones factibles en metaheurísticas poblacionales en base a técnicas de deep learning

M Núñez Guerrero - 2022 - oa.upm.es
Los problemas de optimización multiobjetivo complejos se pueden resolver de diferentes
maneras. Una de las posibles técnicas para su resolución es mediante metaheurísticas …