Results 91 to 100 of about 5,089,183 (236)

Difficulties of the NSGA-II With the Many-Objective LeadingOnes Problem

IEEE Transactions on Evolutionary Computation
The NSGA-II is the most prominent multi-objective evolutionary algorithm (cited more than 50,000 times). Very recently, a mathematical runtime analysis has proven that this algorithm can have enormous difficulties when the number of objectives is larger than two (Zheng, Doerr. IEEE Transactions on Evolutionary Computation (2024)).
Benjamin Doerr, Dimitri Korkotashvili, Martin S. Krejca   +2 more
openaire   +2 more sources

A unified formulation for home healthcare routing and scheduling problems

International Transactions in Operational Research, EarlyView.
Abstract Home Healthcare is an essential component of healthcare systems, where caregivers visit patients' homes to deliver services. While presenting advantages with respect to institutional care, such as being cost‐effective and alleviating family burdens, it presents challenges in scheduling and routing caregivers efficiently.
Sara Ceschia, Francesca Da Ros, Luca Di Gaspero, Simona Mancini, Vittorio Maniezzo, Roberto Montemanni, Roberto Maria Rosati, Andrea Schaerf   +7 more
wiley   +1 more source

The Evolution of Breast Cancer Detection: A Review of Imaging, Machine Learning, and Multimodal Strategies

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT Breast cancer is still a serious problem in the world arena, where its early and prompt detection is the most important factor in improving patient prognosis and survival. The use of traditional diagnostic techniques, such as imaging (e.g., mammography and ultrasound) and subsequent histopathological examination, is the mainstay, which ...
Likhon Chandra Sarkar, Farida Siddiqi Prity, Farhad Hussain, Anup Talukder, Mirza Raquib, Sharmina Rahman, MD Jiabul Hoque   +6 more
wiley   +1 more source

Development and Implementation of a Hybrid Non-dominated Sorting Genetic Algorithm (H-NSGA-II-III) for Greenhouse Pesticide Routing on Embedded Platforms

Applications of Modelling and Simulation
Greenhouse pesticide application requires route optimization that balances operational efficiency with sapling-level infection severity. Classical formulations of the Capacitated Vehicle Routing Problem (CVRP) construct routes subject to vehicle capacity
Abubaker Badi, Salinda Buyamin, Mohamad Shukri Zainal Abidin, Mohd Saiful Azimi Mahmud   +3 more
doaj  

Parameter Design of a Photovoltaic Storage Battery Integrated System for Detached Houses Based on Nondominated Sorting Genetic Algorithm-II

Buildings
With the deteriorating environment and excessive consumption of primary energy, solar energy has become used in buildings worldwide for renewable energy. Due to the fluctuations of solar radiation, a solar photovoltaic (PV) power system is often combined
Yaolong Hou, Quan Yuan, Xueting Wang, Han Chang, Chenlin Wei, Di Zhang, Yanan Dong, Yijun Yang, Jipeng Zhang   +8 more
doaj   +1 more source

A genetic algorithm simheuristic for solving the stochastic project portfolio selection problem with portfolio reliability constraints

International Transactions in Operational Research, Volume 33, Issue 6, Page 4039-4071, November 2026.
Abstract In response to the increasing complexity of modern products, dynamic markets, and intensified competition, project‐based organizations are actively seeking methodologies to efficiently manage their expanding project portfolios. This paper analyzes the project portfolio selection problem in uncertain environments. Despite recent advances in the
Miguel Saiz, David Lopez‐Lopez, Laura Calvet, Angel A. Juan   +3 more
wiley   +1 more source

Optimizing pressurized drip irrigation pipe network design using an improved NSGA-II algorithm and engineering depreciation cost method

Guan'gai paishui xuebao
【Objective】Optimizing pipe networks is a critical aspect of drip irrigation design. This paper proposes a multi-objective method to optimize pressurized drip irrigation network design and evaluate its applicability.【Method】The optimization method ...
FAN Kai, HUO Xuefei, WANG Wen’e, HU Xiaotao, RAN Danjie, PI Yingying   +5 more
doaj   +1 more source

Performance comparison of pressure swing adsorption and amine‐based absorption for synthesis gas purification

The Canadian Journal of Chemical Engineering, Volume 104, Issue 9, Page 5012-5027, September 2026.
Comparison of PSA and amine‐based absorption for syngas purification shows that PSA offers lower energy intensity, global warming potential, and minimum selling price, making it a more sustainable option. However, absorption achieves higher syngas purity. A GREENSCOPE‐based multi‐criteria assessment guides optimal process selection.
Magno Fonseca Santos, Antonio Esio Bresciani, Rita Maria Brito Alves   +2 more
wiley   +1 more source

3D print orientation optimization and comparative analysis of NSGA-II versus NSGA-II with Q-learning

International Journal on Smart Sensing and Intelligent Systems
Abstract This study optimizes 3D print orientation to minimize support material, printing time, and surface roughness using non-dominated sorting genetic algorithm II (NSGA-II). Traditional NSGA-II can stagnate due to static parameters; thus, integration with Q-learning dynamically adjusts these parameters based on rewards. Q-learning,
G. Bilowo, B. Hardjono
openaire   +1 more source

Multi‐Objective Collaborative Process Optimization Based on Deep Learning of Laser In Situ Forging Additive Manufacturing Ti‐6Al‐4V

Rare Metals, Volume 45, Issue 9, September 2026.
ABSTRACT Aiming at the problems of insufficient forming quality and poor surface performance in the preparation of Ti‐6Al‐4V alloy by laser powder bed fusion (LPBF), this study proposed a laser in situ forging additive manufacturing (LIF‐AM) technology, which integrates LPBF with femtosecond laser in situ shock forging and realizes defect control and ...
Peng He, Yuming Huang, Wenhe Wang, Chao Wang, Yi Zhang, Min Huang, Shulun Yu, Haocheng Liu, Xinlei Pan, Lu Wang, Liucheng Zhou   +10 more
wiley   +1 more source