A multi-objective evolutionary algorithm for detecting protein complexes in PPI networks using gene ontology by Mustafa N. Abbas, David Broneske, Gunter Saake

“…Abstract Detecting protein complexes is crucial in computational biology for understanding cellular mechanisms and facilitating drug discovery. Evolutionary algorithms (EAs) have proven effective in uncovering protein complexes within networks of protein–protein interactions (PPIs). …”
Get full text

A competitive coevolution-based evolutionary algorithm for the parallel inverse design of multiple soft network materials by Xiao Feng, Yuchen Lai, Xing Yang, Yongbin Yu, Fangling Li, Xiangxiang Wang, Jiacheng Liang, Jingye Cai, Shunze Cao

Get full text

Research and application of optimization of physical education training model based on multi-objective differential evolutionary algorithm by Man Wu

Get full text

Multi-Population Optimization Framework Based on Plant Evolutionary Strategy and Its Application to Engineering Design Problems by Hongwei Cheng, Jun Li, Xiaoming Zhang, Tingjuan Li, Panpan Zhang

“…PES_MPOF integrates multiple subpopulations, each evolving according to different plant evolutionary models. These subpopulations mimic natural distribution and reproduction strategies, fostering solution diversity through both cooperation and competition. …”
Get full text

SAHAANN: A NOVEL EVOLUTIONARY ARTIFICIAL NEURAL NETWORK FOR IMPROVED FINANCIAL TIME SERIES FORECASTING by Abdul Khadeer, Vanaparthi Kiranmai, B. Suvarnamukhi, Ayaz Mohiuddin, Balika Mahesh, P M Suresh, J Arthy, Sasikumar A N, Sudersan Behera, Mohd Ayaz Uddin

Get full text

Evolutionary Artificial Intelligence Algorithm for Optimizing Step Phase Detection Based on Foot-Mounted Triaxial Accelerometer Data by P. A. Khmarskiy

“…This work implements an evolutionary artificial intelligence algorithm that mimics natural selection processes, providing automatic search for the optimal gait phase detector parameters by minimizing the error between the trajectory obtained from inertial measurement units and the reference (optical) trajectory acquired using an OptiTrack system. …”
Get full text

A Linear Regression Prediction-Based Dynamic Multi-Objective Evolutionary Algorithm with Correlations of Pareto Front Points by Junxia Ma, Yongxuan Sang, Yaoli Xu, Bo Wang

“…The Dynamic Multi-Objective Evolutionary Algorithm (DMOEA) is an effective way for solving DMOPs. …”
Get full text

An Adaptive Parameter Evolutionary Marine Predators Algorithm for Joint Resource Scheduling of Cooperative Jamming Networked Radar Systems by Dejiang Lu, Siyi Cheng, You Chen, Xi Zhang, Haoyang Li, Tianjian Yang

Get full text

Multi-objective optimization of daylighting performance and solar radiation for building geometry using a hybrid evolutionary algorithm by Shaoyang Lou, Xiaojun Luo, Zhonggou Chen, Zhiji Gao, Ruida Wang, Linjin Feng, Guoyi Zhang, Yanfei Zhang, Ye Zhao, Bei Li

“…A multi-objective evolutionary algorithm named Steady-State Island Evolutionary Algorithm (SSIEA) was applied to optimize the building geometry, ultimately yielding the Pareto front optimal solution. …”
Get full text

A novel framework for sentiment classification employing Bi-GRU optimized by enhanced human evolutionary optimization algorithm by Xi Wang, Samad Nourmohammadi

“…Then, it was optimized by the Enhanced Human Evolutionary Optimization (EHEO) algorithm, hence improving the hyperparameters. …”
Get full text

GUESS-ing polygenic associations with multiple phenotypes using a GPU-based evolutionary stochastic search algorithm. by Leonardo Bottolo, Marc Chadeau-Hyam, David I Hastie, Tanja Zeller, Benoit Liquet, Paul Newcombe, Loic Yengo, Philipp S Wild, Arne Schillert, Andreas Ziegler, Sune F Nielsen, Adam S Butterworth, Weang Kee Ho, Raphaële Castagné, Thomas Munzel, David Tregouet, Mario Falchi, François Cambien, Børge G Nordestgaard, Fredéric Fumeron, Anne Tybjærg-Hansen, Philippe Froguel, John Danesh, Enrico Petretto, Stefan Blankenberg, Laurence Tiret, Sylvia Richardson

Get full text

Application of imperialist competitive optimization algorithm in power industry by Mohammad Shahrazad, Amir Hessam Alikhanzadeh, Ahmed F Zobaa

Get full text

Feedback Tracking Constraint Relaxation Algorithm for Constrained Multi-Objective Optimization by Yuling Lai, Junming Chen, Yile Chen, Hui Zeng, Jialin Cai

“…In practical applications, constrained multi-objective optimization problems (CMOPs) often fail to achieve the desired results when dealing with CMOPs with different characteristics. Therefore, to address this drawback, we designed a constraint multi-objective evolutionary algorithm based on feedback tracking constraint relaxation, referred to as CMOEA-FTR. …”
Get full text

A Novel Hybrid Differential Evolutionary Algorithm for Solving Multi-objective Distributed Permutation Flow-Shop Scheduling Problem by Xinzhe Du, Yanping Zhou

“…The effectiveness and superiority of the proposed algorithm are verified through 24 instances of different sizes. …”
Get full text

A novel pigeon-inspired optimization with QUasi-Affine TRansformation evolutionary algorithm for DV-Hop in wireless sensor networks by Xiao-Xue Sun, Jeng-Shyang Pan, Shu-Chuan Chu, Pei Hu, Ai-Qing Tian

“…We abstract the pigeons into particles of no quality and improve the learning strategy of the particles. Having different update strategies, the particles get more scientific movement and space exploration on account of adopting the matrix of the QUasi-Affine TRansformation Evolutionary algorithm. …”
Get full text

A Preference Model-Based Surrogate-Assisted Constrained Multi-Objective Evolutionary Algorithm for Expensively Constrained Multi-Objective Problems by Yu Sun, Yifan Ma, Bei Hua

“…In the context of expensive constraint multi-objective problems, it is evident that the feasible domain shapes and sizes of different problems vary considerably. The difficulty in finding optimal solutions presents a significant challenge in ensuring the surrogate-assisted evolutionary algorithm’s feasibility, convergence, and diversity. …”
Get full text

UAV Path Planning: A Dual-Population Cooperative Honey Badger Algorithm for Staged Fusion of Multiple Differential Evolutionary Strategies by Xiaojie Tang, Chengfen Jia, Zhengyang He

Get full text

Meta-heuristics meet sports: a systematic review from the viewpoint of nature inspired algorithms by Ariyaratne M.K.A., Silva R.M.

Get full text

A genetic algorithm to generate maximally orthogonal frames in complex space by Sebastián Roca-Jerat, Juan Román-Roche

Get full text

Identification of maize kernel varieties based on interpretable ensemble algorithms by Chunguang Bi, Chunguang Bi, Xinhua Bi, Jinjing Liu, Hao Xie, Shuo Zhang, He Chen, Mohan Wang, Lei Shi, Lei Shi, Shaozhong Song

“…Traditional single models show limitations in processing large-scale multimodal data.MethodsThis study constructed an interpretable ensemble learning model for maize seed variety identification through improved differential evolutionary algorithm and multimodal data fusion. Morphological and hyperspectral data of maize samples were extracted and preprocessed, and three methods were used to screen features, respectively. …”
Get full text