Shuxun Li^1,2, Xinhao Liu^1,2,*, Yu Zhang^1,2, Yu Zhao^1,2

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.10, pp. 2495-2526, 2025, DOI:10.32604/fdmp.2025.068674 - 30 October 2025

Abstract Hydraulic control valves, positioned at the terminus of pipe networks, are critical for regulating flow and pressure, thereby ensuring the operational safety and efficiency of pipeline systems. However, conventional valve designs often struggle to maintain effective regulation across a wide range of system pressures. To address this limitation, this study introduces a novel Pilot hydraulic valves specifically engineered for enhanced dynamic performance and precise regulation under variable pressure conditions. Building upon prior experimental findings, the proposed design integrates a high-fidelity simulation framework and a surrogate model-based optimization strategy. The study begins by formulating a comprehensive… More >

Thomas Hanne^1,*, Mohammad Jahani Moghaddam²

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 4203-4236, 2025, DOI:10.32604/cmc.2025.068087 - 23 October 2025

Abstract Multi-Objective Evolutionary Algorithms (MOEAs) have significantly advanced the domain of Multi-Objective Optimization (MOO), facilitating solutions for complex problems with multiple conflicting objectives. This review explores the historical development of MOEAs, beginning with foundational concepts in multi-objective optimization, basic types of MOEAs, and the evolution of Pareto-based selection and niching methods. Further advancements, including decom-position-based approaches and hybrid algorithms, are discussed. Applications are analyzed in established domains such as engineering and economics, as well as in emerging fields like advanced analytics and machine learning. The significance of MOEAs in addressing real-world problems is emphasized, highlighting their More >

Yuqian Qi^*, Yanbo Che, Liangliang Liu, Jiayu Ni, Shangyuan Zhang

Energy Engineering, Vol.122, No.10, pp. 3999-4017, 2025, DOI:10.32604/ee.2025.068054 - 30 September 2025

Abstract The process of including renewable energy sources in power networks is moving quickly, so the need for innovative configuration solutions for grid-side ESS has grown. Among the new methods presented in this paper is GA-OCESE, which stands for Genetic Algorithm-based Optimization Configuration for Energy Storage in Electric Networks. This is one of the methods suggested in this study, which aims to enhance the sizing, positioning, and operational characteristics of structured ESS under dynamic grid conditions. Particularly, the aim is to maximize efficiency. A multiobjective genetic algorithm, the GA-OCESE framework, considers all these factors simultaneously. Besides… More >

Jian Li^1,*, Qing Zhang², Tong Yang², Yu’an Chen², Yongzhong Zhan³

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 3029-3051, 2025, DOI:10.32604/cmes.2025.068644 - 30 September 2025

Abstract In the deployment of wireless networks in two-dimensional outdoor campus spaces, aiming at the problem of efficient coverage of the monitoring area by limited number of access points (APs), this paper proposes a deployment method of multi-objective optimization with virtual force fusion bat algorithm (VFBA) using the classical four-node regular distribution as an entry point. The introduction of Lévy flight strategy for bat position updating helps to maintain the population diversity, reduce the premature maturity problem caused by population convergence, avoid the over aggregation of individuals in the local optimal region, and enhance the superiority… More >

Yuzhen Liu^1,2, Jiasheng Yin^1,2, Yixuan Chen^1,2, Jin Wang^1,2, Xiaolan Zhou^1,2, Xiaoliang Wang^1,2,*

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3965-3980, 2025, DOI:10.32604/cmc.2025.068500 - 23 September 2025

Abstract Multi-instance image generation remains a challenging task in the field of computer vision. While existing diffusion models demonstrate impressive fidelity in image generation, they often struggle with precisely controlling each object’s shape, pose, and size. Methods like layout-to-image and mask-to-image provide spatial guidance but frequently suffer from object shape distortion, overlaps, and poor consistency, particularly in complex scenes with multiple objects. To address these issues, we introduce PolyDiffusion, a contour-based diffusion framework that encodes each object’s contour as a boundary-coordinate sequence, decoupling object shapes and positions. This approach allows for better control over object geometry… More >

Hamed Yousefzadeh Eini, Mohammad Hossein Sabouri, Mojtaba Babaelahi^*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.7, pp. 1771-1788, 2025, DOI:10.32604/fdmp.2025.066747 - 31 July 2025

Abstract Heat Recovery Ventilators (HRVs) are essential for improving indoor air quality (IAQ) and reducing energy consumption in residential buildings situated in cold climates. This study considers the efficiency and performance optimization of HRVs under cold climatic conditions, where conventional ventilation systems increase heat loss. A comprehensive numerical model was developed using COMSOL Multiphysics, integrating fluid dynamics, heat transfer, and solid mechanics to evaluate the thermal efficiency and structural integrity of an HRV system. The methodology employed a detailed geometry with tetrahedral elements, temperature-dependent material properties, and coupled governing equations solved under Tehran-specific boundary conditions. A More >

P. William^1,2, Ved Prakash Mishra¹, Osamah Ibrahim Khalaf^3,*, Arvind Mukundan⁴, Yogeesh N⁵, Riya Karmakar⁶

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5133-5156, 2025, DOI:10.32604/cmc.2025.065840 - 30 July 2025

Abstract Cloud computing has become an essential technology for the management and processing of large datasets, offering scalability, high availability, and fault tolerance. However, optimizing data replication across multiple data centers poses a significant challenge, especially when balancing opposing goals such as latency, storage costs, energy consumption, and network efficiency. This study introduces a novel Dynamic Optimization Algorithm called Dynamic Multi-Objective Gannet Optimization (DMGO), designed to enhance data replication efficiency in cloud environments. Unlike traditional static replication systems, DMGO adapts dynamically to variations in network conditions, system demand, and resource availability. The approach utilizes multi-objective optimization More >

Yiwei Zhang, Xin Cui^*, Qinghui Zhao

CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 2355-2373, 2025, DOI:10.32604/cmc.2025.065430 - 03 July 2025

Abstract The rapid advance of Connected-Automated Vehicles (CAVs) has led to the emergence of diverse delay-sensitive and energy-constrained vehicular applications. Given the high dynamics of vehicular networks, unmanned aerial vehicles-assisted mobile edge computing (UAV-MEC) has gained attention in providing computing resources to vehicles and optimizing system costs. We model the computing offloading problem as a multi-objective optimization challenge aimed at minimizing both task processing delay and energy consumption. We propose a three-stage hybrid offloading scheme called Dynamic Vehicle Clustering Game-based Multi-objective Whale Optimization Algorithm (DVCG-MWOA) to address this problem. A novel dynamic clustering algorithm is designed… More >

Chunhuan Jin¹, Linsen Zhu², Quanliang Liu^1,3,*, Ji Lin¹

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 1689-1711, 2025, DOI:10.32604/cmes.2025.063850 - 30 May 2025

Abstract This study proposes a multi-objective optimization framework for electric winches in fiber-reinforced plastic (FRP) fishing vessels to address critical limitations of conventional designs, including excessive weight, material inefficiency, and performance redundancy. By integrating surrogate modeling techniques with a multi-objective genetic algorithm (MOGA), we have developed a systematic approach that encompasses parametric modeling, finite element analysis under extreme operational conditions, and multi-fidelity performance evaluation. Through a 10-t electric winch case study, the methodology’s effectiveness is demonstrated via parametric characterization of structural integrity, stiffness behavior, and mass distribution. The comparative analysis identified optimal surrogate models for predicting More >

Liang Tang¹, Hongwei Wang¹, Xinyuan Zhu¹, Jiying Liu^2,*, Kaiyue Li^2,*

Energy Engineering, Vol.122, No.6, pp. 2257-2289, 2025, DOI:10.32604/ee.2025.063918 - 29 May 2025

Abstract The intermittency and volatility of wind and photovoltaic power generation exacerbate issues such as wind and solar curtailment, hindering the efficient utilization of renewable energy and the low-carbon development of energy systems. To enhance the consumption capacity of green power, the green power system consumption optimization scheduling model (GPS-COSM) is proposed, which comprehensively integrates green power system, electric boiler, combined heat and power unit, thermal energy storage, and electrical energy storage. The optimization objectives are to minimize operating cost, minimize carbon emission, and maximize the consumption of wind and solar curtailment. The multi-objective particle swarm… More >