Population-based optimization in structural engineering: a review

AR Kashani, CV Camp, M Rostamian, K Azizi… - Artificial Intelligence …, 2022 - Springer
Structural engineering is focused on the safe and efficient design of infrastructure. Projects
can range in size and complexity, many requiring massive amounts of materials and …

Energy aware optimized clustering for hierarchical routing in wireless sensor network

RK Yadav, RP Mahapatra - Computer Science Review, 2021 - Elsevier
Abstract In fact, Cluster Head (CH) can be selected randomly or based on one or more
criteria that directly pave the way for maximizing network lifetime. However, the selection of …

Intelligent energy management for hybrid electric tracked vehicles using online reinforcement learning

G Du, Y Zou, X Zhang, Z Kong, J Wu, D He - Applied Energy, 2019 - Elsevier
The energy management approach of hybrid electric vehicles has the potential to overcome
the increasing energy crisis and environmental pollution by reducing the fuel consumption …

Intelligent intersection control for delay optimization: Using meta-heuristic search algorithms

A Jamal, M Tauhidur Rahman, HM Al-Ahmadi, I Ullah… - Sustainability, 2020 - mdpi.com
Traffic signal control is an integral component of an intelligent transportation system (ITS)
that play a vital role in alleviating traffic congestion. Poor traffic management and inefficient …

AFOX: A new adaptive nature-inspired optimization algorithm

H ALRahhal, R Jamous - Artificial Intelligence Review, 2023 - Springer
Optimization is a common phenomenon that we encounter in our daily routine, which
involves selecting the best option from a set of alternatives. A lot of algorithms have been …

IntelliHome: An internet of things‐based system for electrical energy saving in smart home environment

MA Paredes‐Valverde… - Computational …, 2020 - Wiley Online Library
Despite there has been an increasing energy price due to factors such as supply, demand,
government regulation, among others, users do not like to spend their time to analyze their …

Employing a Gaussian Particle Swarm Optimization method for tuning Multi Input Multi Output‐fuzzy system as an integrated controller of a micro‐grid with stability …

M Mir, M Dayyani, T Sutikno… - Computational …, 2020 - Wiley Online Library
There are mainly two most essential problems in power networks, load frequency control
and power flow management, which are grown recently because of growth in dimension …

Discovery of resident behavior patterns using machine learning techniques and IoT paradigm

J Reyes-Campos, G Alor-Hernández, I Machorro-Cano… - Mathematics, 2021 - mdpi.com
In recent years, technological paradigms such as Internet of Things (IoT) and machine
learning have become very important due to the benefit that their application represents in …

Grey wolf optimizer for optimal sizing of hybrid wind and solar renewable energy system

DK Geleta, MS Manshahia, P Vasant… - Computational …, 2022 - Wiley Online Library
By taking facts such as oil depletion, increasing number of population and energy demand
into account, alternative electric generation scheme called renewable energy has entered …

An improved differential evolution algorithm for optimal location of battery swapping stations considering multi-type electric vehicle scale evolution

S Wang, L Yu, L Wu, Y Dong, H Wang - IEEE Access, 2019 - ieeexplore.ieee.org
Scientific scale forecasting of multi-type electric vehicles (EVs) is critical to accurately
analyze the planning and operation of battery-swapping stations (BSSs) and charging …