Yun-Ting Lai, Ming-Ho Chang, Yao-Hsin Chou^*

CMC-Computers, Materials & Continua, Vol.89, No.1, 2026, DOI:10.32604/cmc.2026.083120 - 13 August 2026

Abstract Portfolio optimization is inherently a multi-objective problem that aims to maximize expected return while minimizing investment risk, while also facing exponential growth in the search space and increasing market complexity. Existing multi-objective optimization approaches often struggle to balance convergence and diversity, particularly under realistic trading conditions such as short-selling. To address these challenges, this paper proposes a novel Multi-objective Quantum-inspired Tabu Search (MoQTS) framework for portfolio optimization with short-selling strategies. The proposed method incorporates a quantum-inspired superposition mechanism to enhance global exploration and introduces an entanglement-driven neighborhood search strategy that systematically generates structured local perturbations… More >

Theint Theint Maw, Shuai Zhou^*, Tek Tjing Lie

Energy Engineering, Vol.123, No.9, 2026, DOI:10.32604/ee.2026.081744 - 06 August 2026

Abstract The rapid deployment of distributed energy resources (DERs), including photovoltaic (PV) generation, wind turbines (WT), battery energy storage systems (BESS), and electric vehicles (EVs), is transforming modern distribution networks by introducing bidirectional power flows, voltage variations, and increased operational complexity, thereby require enhanced system resilience. This paper presents a systematic review of multi-objective optimization approaches for interconnected multi-microgrid (MMG) systems with explicit consideration of resilience, following the PRISMA 2020 guidelines. A structured literature search and screening process was conducted across major databases, including IEEE Xplore, Scopus, and ScienceDirect, covering publications from 2015 to 2026. The More >

Alireza Norouzpour Shahrbejari¹, Nafiseh Pishbin², Mohammad Reza Maghami^3,*, Mazlan Mohamed^4,*, Mohammad Golmohammad¹

CMES-Computer Modeling in Engineering & Sciences, Vol.148, No.1, 2026, DOI:10.32604/cmes.2026.083763 - 27 July 2026

Abstract This study presents a weighted-sum multi-criteria optimization framework using PSO for the optimal siting, sizing, and scenario-based operation of energy storage systems (ESSs) in renewable-integrated distribution networks. The proposed model concurrently addresses technical, economic, and reliability objectives—minimizing active power losses (PL), voltage deviation (VD), expected energy not supplied (EENS), and short-circuit level (SCL), while maximizing voltage sensitivity index (VSI) and power-loss sensitivity factor (PLSF). A Particle Swarm Optimization (PSO) algorithm with weighted-sum scalarization is employed to solve this complex, nonlinear optimization problem and effectively balance the conflicting operational goals. The framework is validated using IEEE… More >

Yun Liu¹, Jinghua Zhao¹, Liang Ma¹, Zijie Huang^2,3,*, Lizhi Cai^2,3, Jianxin Ge^2,3

CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.084179 - 23 July 2026

Abstract Automated library migration reduces refactoring costs but challenges traditional evolutionary algorithms, which often suffer from premature convergence and poor recall in sparse, complex API mapping spaces. To address this, we propose QIMIG, a multi-objective optimization framework integrating quantum-inspired encoding with quality-aware and greedy heuristic filtering. QIMIG utilizes a probabilistic Q-bit representation to maintain population diversity and avoid local optima. Simultaneously, its heuristic components leverage historical usage context to filter semantic noise and guide the search toward valid mappings. Evaluated on 9 real-world migration rules derived from 57,447 open-source projects, QIMIG statistically significantly outperforms state-of-the-art baselines More >

Jialing Tao, Song Huang^*, Changyou Zheng^*

CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.080119 - 23 July 2026

Abstract Background: Jailbreak attacks, which use crafted prompts to bypass safety alignments of Large Language Models (LLMs) and generate harmful content, pose a significant security threat. Existing methods often optimize for a single objective (e.g., attack success rate), neglecting critical factors like query efficiency, which limits their practicality and generalization. Methods: We propose a Componentized Multi-Objective Optimization Framework (CMOOF), which introduces a paradigm shift: it searches for generalizable and query-efficient attack strategy templates within a structured, component-based strategy space. CMOOF leverages the NSGA-II algorithm to explicitly co-optimize two first-class objectives: Attack Success Rate (ASR) and Query More >

Spandana Saggurthi¹, Anand Nayyar², Sk Hasane Ahammad¹, Sumendra Yogarayan^3,*

CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.080058 - 23 July 2026

Abstract This work presents a multi-objective optimization framework for systematic design-space exploration of a 28 GHz single-stage cascode LNA (Low noise amplifier) in 22 nm FDSOI technology using NSGA-II and MOPSO algorithms. The objectives of the paper include simultaneous minimization of noise figure (NF) and power consumption while maximizing gain under matching and stability constraints. Using device parameters and circuit models that were developed for a 22 nm FDSOI process technology, an optimization framework was created in Python, with the passive components LG, LS, LD, LOUT, and COUT chosen to be the variables optimized. More >

Dheyaa Abdulraheem Khalaf^1,*, Ammar Sami Mohammad²

Energy Engineering, Vol.123, No.7, 2026, DOI:10.32604/ee.2026.080456 - 18 June 2026

Abstract Transient thermodynamic analysis of a multilayer phase-change material (PCM)–assisted evacuated tube solar collector (PCM–ETSC) is presented. A compact enthalpy-based numerical model is formulated to capture coupled heat transfer among the absorber tube, a mixed-mean heat-transfer fluid (HTF) control volume, and multiple PCM layers with staggered melting temperatures under time-dependent irradiance. Performance is evaluated using solar-referenced thermal and exergy efficiencies and reported over a sunlit window defined by G (t) > 0.1 G_max. For the baseline run, the simulated temperature ranges are Tf∈[298.000,306.489] and Tt∈[298.000,310.432] K with PCM, compared with Tf∈[298.000,306.774] and Tt∈[298.000,310.848] K without… More >

Jiguang Wu¹, Qing Zhi^2,*, Jin Guan², Ruopeng Zhang², Lixia Wu², Shuhui Zhang², Caifeng Wen^3,4

Energy Engineering, Vol.123, No.7, 2026, DOI:10.32604/ee.2025.073914 - 18 June 2026

Abstract This paper proposes a hybrid energy storage control method that coordinates the minimum output of the wind–storage system and the SOC self-recovery capability, applied to stand-alone energy storage stations. Under the premise of meeting the wind power smoothing requirements, model predictive control (MPC) is employed to rapidly regulate the SOC and output of the energy storage system during the smoothing process, thereby enhancing its sustained and stable operation capability, and decomposing the original wind power into a direct grid-connected component and a hybrid energy storage smoothing component. Subsequently, the Northern Goshawk Algorithm-Improved Complete Ensemble Empirical… More >

Bhanu Talwar^1,*, Puneet Thapar¹, Tahani Alsubait², Mai Alduailij³, Ateeq Ur Rehman^4,*, Salil Bharany⁵

CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.080977 - 15 June 2026

Abstract Wireless Sensor Networks (WSNs) play a vital role in smart city Internet of Things (IoT) applications, including environmental monitoring, intelligent transportation, and infrastructure management. However, limited battery capacity, uneven energy consumption, and inefficient clustering and routing mechanisms significantly reduce network lifetime, reliability, and scalability, especially in large-scale IoT deployments. Traditional routing protocols often rely on single-objective optimization or static clustering strategies, which fail to maintain long-term energy balance and stable communication performance. To address these challenges, this paper proposes iPAFAR, a Pareto-based multi-objective clustering and routing framework designed for IoT-enabled WSNs. The proposed model formulates… More >

Anjie Hu¹, Rui Zhao¹, Liu Tang^2,3,*, Jun Wang^2,3, Dong Liu¹

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.5, 2026, DOI:10.32604/fdmp.2026.080001 - 27 May 2026

Abstract Lithium-ion batteries are widely deployed in electric vehicles, yet their performance and safety are strongly constrained by elevated operating temperatures, which may accelerate degradation and, in extreme cases, trigger thermal runaway. This study numerically investigates the thermal performance of a Tesla valve-based cold plate for battery thermal management, with the aim of enhancing heat dissipation efficiency through multi-parameter collaborative optimization. An initial screening is conducted using orthogonal experimental design to evaluate the effects of shunt angle (30°–50°), number of unit pairs (3–7), channel asymmetry ratio (0–0.5), and branch channel width (2–4 mm) on maximum temperature… More >