An Experimental Comparison of Self-Adaptive Differential Evolution Algorithms to Induce Oblique Decision Trees by Rafael Rivera-López, Efrén Mezura-Montes, Juana Canul-Reich, Marco-Antonio Cruz-Chávez

“…This study addresses the challenge of generating accurate and compact oblique decision trees using self-adaptive differential evolution algorithms. Although traditional decision tree induction methods create explainable models, they often fail to achieve optimal classification accuracy. …”
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Multi-objective Optimization for Hybrid Power System based on the Differential Evolution Algorithm by Deng Tao, Lin Chunsong, Li Ya’nan, Lu Renzhi

“…Considering the disadvantages of energy management multi- objectives optimization for hybrid electric vehicle（ HEV） which usually adopts weighted sum method,by using the Pareto optimum algorithm,based on non- dominated sorting method to deal with the fuel economy and emissions（ CO,NOxand HC） evaluation indexes,then a new adaptive differential evolution algorithm is proposed and simulated which can be applied to multi- objective optimization of HEV energy management. …”
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A Modified Multiobjective Self-Adaptive Differential Evolution Algorithm and Its Application on Optimization Design of the Nuclear Power System by Yunjia Yang, Shinian Peng, Li Zhu, Dan Zhang, Zhifang Qiu, Hongsheng Yuan, Lin Xian

“…A modified multiobjective self-adaptive differential evolution algorithm (MMOSADE) is presented in this paper to improve the accuracy of multiobjective optimization design in the nuclear power system. …”
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Collision Avoidance for Unmanned Surface Vehicles in Multi-Ship Encounters Based on Analytic Hierarchy Process–Adaptive Differential Evolution Algorithm by Zhongming Xiao, Baoyi Hou, Jun Ning, Bin Lin, Zhengjiang Liu

“…This study proposes an adaptive differential evolution algorithm model integrated with the analytic hierarchy process (AHP-ADE). …”
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A study of adaptive population sizing in a self-adaptive differential evolution by Haldi Budiman, Shir Li Wang, Theam Foo Ng, Amr S. Ghoneim, Haidi Ibrahim, Bahbibi Rahmatullah

“…This work investigates the adaptation of population sizing of a self-adaptive differential evolution algorithm called Self-Adaptive Ensemble-based DE with Enhanced Population Sizing (SAEDE-EP). …”
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Harmony Search Based Parameter Ensemble Adaptation for Differential Evolution by Rammohan Mallipeddi

“…In differential evolution (DE) algorithm, depending on the characteristics of the problem at hand and the available computational resources, different strategies combined with a different set of parameters may be effective. …”
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Flower fertilization optimization algorithm with application to adaptive controllers by Hazim Albedran, Shaymaa Alsamia, Edina Koch

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Nature-inspired adaptive differential evolution: A unified meta-heuristic framework for complex engineering optimisation and UAV path planning by Shijie Fan, Ruichen Wang, Yang Song, David Crosbee, Kang Su

“…Drawing on the principles of biological evolution, collective behaviours within populations, and the self-regulation mechanisms of ecosystems, the proposed algorithm is termed Nature-Inspired Adaptive Differential Evolution (NIADE). …”
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Self-learning differential evolution algorithm for dynamic polycentric problems by Xing-bao LIU, Jian-ping YIN, Chun-hua HU, Rong-yuan CHEN

“…A novel self-learning differential evolution algorithm is proposed to solve dynamical multi-center optimization problems.The approach of re-evaluating some specific individuals is used to monitor environmental changes.The proposed self-learning operator guides the evolutionary group to a new environment,meanwhile maintains the stable topology structure of group to maintain the current evolutionary trend.A neighborhood search mechanism and a random immigrant mechanism are adapted to make a tradeoff between algorithmic convergence and population diversity.The experiment studies on a periodic dynamic function set suits are done,and the comparisons with peer algorithms show that the self-learning differential algorithm outperforms other algorithms in term of convergence and adaptability under dynamical environment.…”
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Adaptive dynamic ϵ-simulated annealing algorithm for tumor immunotherapy by Xiaoyan Sun, Xiaoyan Sun, Ying Jiang

“…The algorithm is applied to an improved tumor immunotherapy model (ITIT), formulated using ordinary differential equations (ODEs) based on established experimental and clinical studies. …”
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Adaptive Quantum-Inspired Evolution for Denoising PCG Signals in Unseen Noise Conditions by Lubna Siddiqui, Ashish Mani, Jaspal Singh

“…This study investigates a novel Quantum-inspired Evolutionary Algorithm (QiEA) for denoising phonocardiogram signals using a fractional-order digital differentiator FIR filter (FODD). …”
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Adaptive image encryption approach using an enhanced swarm intelligence algorithm by Sachin Minocha, Suvita Rani Sharma, Birmohan Singh, Amir H. Gandomi

“…Therefore, this work proposes Iterative Cosine operator-based Hippopotamus Optimization (ICO-HO) to select optimal parameters for chaotic maps, which is further used to design an adaptive image encryption approach. ICO-HO algorithm improves the Hippopotamus Optimization (HO) by integrating a new phase (Phase 4) to update the position of the hippopotamus. …”
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Overcoming Stagnation in Metaheuristic Algorithms with MsMA’s Adaptive Meta-Level Partitioning by Matej Črepinšek, Marjan Mernik, Miloš Beković, Matej Pintarič, Matej Moravec, Miha Ravber

“…The experimental results on the CEC’24 benchmark suite, which includes 29 diverse test functions, and on a real-world Load Flow Analysis (LFA) optimization problem demonstrate that MsMA consistently enhances the performance of all tested algorithms. In particular, Self-Adapting Differential Evolution (jDE), Manta Ray Foraging Optimization (MRFO), and the Coral Reefs Optimization Algorithm (CRO) showed significant improvements when paired with MsMA. …”
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A hybrid differential evolution particle swarm optimization algorithm based on dynamic strategies by Huarong Xu, Qianwei Deng, Zhiyu Zhang, Shengke Lin

“…To address this issue, we propose a hybrid differential evolution (DE) particle swarm optimization algorithm based on dynamic strategies (MDE-DPSO). …”
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A thermodynamic inspired AI based search algorithm for solving ordinary differential equations by V. Murugesh, M. Priyadharshini, T. R. Mahesh, Esmael Adem Esleman

“…In this paper, we introduce a new search algorithm called Thermodynamic Inspired Search Algorithm (TSA) for approximate solution to linear ODEs (LODEs), nonlinear ODEs (NLODEs) and systems of ODEs (SODEs). …”
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High performance adaptive step size fractional numerical scheme for solving fractional differential equations by Mudassir Shams, Ahmad Alalyani

“…In both cases, our methods outperform existing approaches, as evidenced by less local and global errors, reduced CPU time, and fewer function and derivative evaluations. Our newly developed fractional order technique outperforms modern high-performance algorithms in solving fractional differential equations, demonstrating superior computational efficiency and stability. …”
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Iterative Adaptive Multi-State Constrained Localization Algorithm Based on Vision/inertial Fusion by JIE Xiaohan, LIU Ning, SHEN Kai, QI Wenhao, LIU Xueqin

“…[Methods] First, the tracking efficiency and real-time requirements of the rescue personnel's violent and complex movements in occluded space analyzed, an iterative adaptive algorithm was designed, and window data iteration was used to judge the excitation and trigger the initialisation condition to construct the measurement update; Second, the way of evaluating and screening the number of map points and pixel differentiation was studied, and a map point optimisation mechanism was introduced to improve the real-time performance of evaluating and screening map points; Finally, a simulation and test platform is built to validate the algorithm. …”
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Research on UAV Conflict Detection and Resolution Based on Tensor Operation and Improved Differential Evolution Algorithm by Zhichong Zhou, Guhao Zhao, Yiru Jiang, Yarong Wu, Jiale Yang, Lingzhong Meng

“…This algorithm improves the solution speed and quality by using an adaptive mutation operator and introducing a redundant evaluation mechanism and a confidence-based selection strategy. …”
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A cooperative stochastic configuration network based on differential evolutionary sparrow search algorithm for prediction by Wenhao Fang, Bo Shen, Anqi Pan, Lei Zou, Baoye Song

“…To improve the prediction accuracy of the network, a cooperative stochastic configuration network (CSCN) based on a novel differential evolutionary sparrow search algorithm (DESSA), termed as DESSA-CSCN, is proposed. …”
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Versatile machine learning algorithms for FTIR spectroscopy: differentiating crosslinked and non-crosslinked gelatin samples by Juliana Rincón-López, Eliana Álvarez-Valdés, Daniela Velez-Arango, Estefanía Rojas Zuleta, Leidy Yuliana Vargas Soto, Liliana Lellesch, Victor Alonso García Londoño, Milton Rosero-Moreano, Gonzalo Taborda-Ocampo

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