Risk management strategies for fuel shortages in economic dispatch with multiple fuel options using walrus algorithm by Mahmoud Ibrahim Mohamed, Ali M. Yousef, Ahmed A. Hafez

“…This article comprehensively analyzes the ED process for power plants with multiple fuel options, while achieving multiple objectives: optimizing energy management and boosting supply security. …”
Get full text

Exploring Advanced Methodologies for Hybrid Energy System Sizing through Artificial Intelligence Techniques: a comprehensive review by Walid Bensalmi, Ahmed Belhani, Abdellatif Bouzid-Daho

Get full text

Optimizing Route Planning via the Weighted Sum Method and Multi-Criteria Decision-Making by Guanquan Zhu, Minyi Ye, Xinqi Yu, Junhao Liu, Mingju Wang, Zihang Luo, Haomin Liang, Yubin Zhong

“…Secondly, this study compares seven heuristic algorithms—the genetic algorithm (GA), particle swarm optimization (PSO), the tabu search (TS), genetic-particle swarm optimization (GA-PSO), the gray wolf optimizer (GWO), and ant colony optimization (ACO)—to solve the TOPSIS model, with GA-PSO performing the best. …”
Get full text

Leveraging Game Theory to Design Incentive-Compatible Time-Varying electricity pricing with Demand-Side management by Magda I. El-Afifi, Bishoy E. Sedhom, Abdelfattah A. Eladl, Padmanaban Sanjeevikumar, Samaa Fawzy

“…To address this, the influence of two optimization algorithms, Genetic Algorithm (GA) and Archimedes Optimization Algorithm (AOA), on user electricity bills and peak-to-average ratio following load scheduling is examined. …”
Get full text

A configuration and scheduling optimization method for integrated energy systems considering massive flexible load resources by Zihao Wang, Shenhua Wang, Hanwen Ni, Junyin Wang, Jun Zhang

“…The EKOA algorithm significantly reduced curtailment rates of wind and solar power generation while achieving substantial economic benefits. …”
Get full text

Simultaneous Energy Optimization of Heating Systems by Multi-Zone Predictive Control—Application to a Residential Building by Rina Bitar, Nicolas Youssef, Julien Chamoin, Fadi Hage Chehade, Didier Defer

“…The research methodology uses dynamic thermal simulation, parallel predictive models based on multiple linear regressions, and a multi-objective non-dominated sorting genetic algorithm II (NSGA-II) for the optimization process, which evaluates various generated heating strategies. …”
Get full text

A genetic algorithm-based solution for multi-type maximal covering location problem (MMCLP): application to defense and deterrence by J.D. Lessan, Geoff Pond

“…Design/methodology/approach – In our case study, we use open source geographic and demographic data from Canadian sources as inputs to our optimization problem. Due to the complexity of the MIP formulation, we propose a hybrid metaheuristic solution approach, for which a genetic algorithm (GA) is proposed and integrated with local and large neighborhood search operators. …”
Get full text

Propeller Design Optimization and an Evaluation of Variable Rotational Speed Flight Operation Under Structural Vibration Constraints by Nicolas Lima Oliveira, Afonso Celso de Castro Lemonge, Patricia Habib Hallak, Konstantinos Kyprianidis, Stavros Vouros, Manuel A. Rendón

“…Three different evolutionary algorithms generated a Pareto front, from which the optimal propeller design is selected. …”
Get full text

Hybrid Metaheuristic Optimization of HVAC Energy Consumption and Thermal Comfort in an Office Building Using EnergyPlus by Reza Akraminejad, Tianyi Zhao, Yacine Rezgui, Ali Ghoroghi, Yousef Shahbazi Razlighi

“…This paper introduces a hybrid crow search optimization (CSA) and penguin search optimization algorithm (PeSOA), termed (HCRPN), designed to simultaneously optimize building energy consumption and achieve MRT levels conducive to thermal comfort by adjusting HVAC system parameters. …”
Get full text

Proactive detection of anomalous behavior in Ethereum accounts using XAI-enabled ensemble stacking with Bayesian optimization by Vasavi Chithanuru, Mangayarkarasi Ramaiah

Get full text

Comparison of Markowitz Model and DCC-tCopula-LVaR for Portfolio Optimization in the Tehran Stock Exchange by Gholamreza Taghizadegan, Gholamreza Zomorodian, Mirfeiz Fallahshams, Rasoul Saadi

Get full text

Multi-Factor Optimization and Failure-Tolerant Design of Cable-Driven Parallel Manipulators in Deep-Sea Robotics by Asim Ghaffar, Muhammad Zia Ur Rahman, Victor Leiva, Cecilia Castro, Carlos Martin-Barreiro

Get full text

Advancing Optimization Strategies in the Food Industry: From Traditional Approaches to Multi-Objective and Technology-Integrated Solutions by Esteban Arteaga-Cabrera, César Ramírez-Márquez, Eduardo Sánchez-Ramírez, Juan Gabriel Segovia-Hernández, Oswaldo Osorio-Mora, Julián Andrés Gómez-Salazar

“…Advanced methods, including evolutionary algorithms and comprehensive modeling frameworks, enable the simultaneous optimization of multiple variables, offering robust solutions to complex challenges. …”
Get full text

A Virtual Power Plant-Integrated Proactive Voltage Regulation Framework for Urban Distribution Networks: Enhanced Termite Life Cycle Optimization Algorithm and Dynamic Coordination by Yonglin Li, Zhao Liu, Changtao Kan, Rongfei Qiao, Yue Yu, Changgang Li

“…., 5G base stations and data centers). While virtual power plants (VPPs) and network reconfiguration mitigate operational risks, extant methods inadequately model load flexibility and suffer from algorithmic stagnation in non-convex optimization. …”
Get full text

A Hybrid Optimization Approach for Improving Sensor Configuration to Enhance Nasogastric Tube (NGT) Localization During Insertion and Withdrawal by M. Souganttika, Shaohui Foong

“…To overcome this issue, we propose a novel approach that reduces the number of sensors needed while retaining accurate localization. By incorporating mathematical models of magnetic dipoles into a Genetic Algorithm (GA), our technology dynamically optimizes the sensor setup, lowering the system’s processing demands while maintaining accuracy. …”
Get full text

Optimal Placement of Photovoltaic Distributed Generation Units in Radial Unbalanced Distribution Systems Using MATLAB and OpenDSS-Based Cosimulation and a Proposed Metaheuristic Al... by Thai Dinh Pham, Thang Trung Nguyen, Le Chi Kien

“…In this paper, an improved slime mould algorithm (ISMA) is proposed for finding the optimal location and sizing of photovoltaic distributed generation units (PVDGUs) in unbalanced distribution systems (UDSs). …”
Get full text

Computer-Aided Efficient Routing and Reliable Protocol Optimization for Autonomous Vehicle Communication Networks by Alaa Kamal Yousif Dafhalla, Mohamed Elshaikh Elobaid, Amira Elsir Tayfour Ahmed, Ameni Filali, Nada Mohamed Osman SidAhmed, Tahani A. Attia, Badria Abaker Ibrahim Mohajir, Jawaher Suliman Altamimi, Tijjani Adam

Get full text

A non-dominated sorting based multi-objective neural network algorithm of ethylene glycol hydrogenation reactor in energy reduction by Fakhrony Sholahudin Rohman, Sharifah Rafidah Wan Alwi, Dinie Muhammad, Muhamad Nazri Murat, Ashraf Azmi

“…A non-dominated sorting-based multi-objective neural network algorithm (MONNA) is applied to tackle problem optimization for EG production. …”
Get full text

Robust Path Tracking Control with Lateral Dynamics Optimization: A Focus on Sideslip Reduction and Yaw Rate Stability Using Linear Quadratic Regulator and Genetic Algorithms by Karrar Y. A. Al-bayati, Ali Mahmood, Róbert Szabolcsi

“…Currently, one of the most important challenges facing autonomous vehicles’ development due to varying driving conditions is effective path tracking while considering lateral stability. To address this issue, this study proposes the optimization of the linear quadratic regulator (LQR) control system by using the genetic algorithm (GA) to support the vehicle in following the predefined path accurately, minimizing the sideslip, and stabilizing the vehicle’s yaw rate. …”
Get full text

Long short‐term memory‐based forecasting of uncertain parameters in an islanded hybrid microgrid and its energy management using improved grey wolf optimization algorithm by Raji Krishna, Hemamalini S

“…Its reliability depends on variable renewable output and load demand, while an energy management system optimizes power scheduling and reduces costs. …”
Get full text