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ORCIDEvolutionary Intelligence, Volume 18
Volume 18, Number 1, February 2025
- Meenal Narkhede, Shrinivas Mahajan
, Prashant Bartakke:
Data-driven weight initialization strategy for convolutional neural networks. 1 - Thiago Henrique Nogueira, Felipe Provezano Coutinho, Maria Gabriela Mendonça Peixoto, Eduardo Gontijo Carrano, Martín Gómez Ravetti:
Evolutionary algorithm framework for optimizing truck scheduling in multi-dock truck cross-docking centers. 2 - Kapil Netaji Vhatkar:
An intellectual model of pest detection and classification using enhanced optimization-assisted single shot detector and graph attention network. 3 - Akshat Agrawal, Anurag Jain:
Brhamo: metaheuristic optimization algorithm for speech emotion recognition using spectral and hybrid features. 4 - Wonjik Kim:
Deep metric learning with in-batch feature vector constraints and unsupervised label integration. 5 - Goytom Gebreyesus, Getu Fellek, Ahmed Farid, Sicheng Hou, Shigeru Fujimura, Osamu Yoshie:
Deep reinforcement learning-based spatio-temporal graph neural network for solving job shop scheduling problem. 6 - Wen-chuan Wang, Zi-jun Han, Zhao Zhang, Jun Wang:
Enhancing sand cat swarm optimization based on multi-strategy mixing for solving engineering optimization problems. 7 - Xiem HoangVan, Khoa Tran Van:
Gaussian mixture model and Bayesian convolutional neural network for abnormal musculoskeletal radiographs classification. 8 - Edris Khezri, Amin Rezaeipanah, Hiwa Hassanzadeh, Jafar Majidpour:
Towards load frequency management in thermal power systems using an improved open-source development model algorithm. 9 - Xiaowei Wang:
Draco lizard optimizer: a novel metaheuristic algorithm for global optimization problems. 10 - Héctor Escobar-Cuevas, Erik Cuevas, Jesús López, Marco Antonio Pérez Cisneros:
Integration of metaheuristic operators through unstructured evolutive game theory approach: a novel hybrid methodology. 11 - Zhuqin Liang, Mohd Tahir Ismail:
Advanced CEEMD hybrid model for VIX forecasting: optimized decision trees and ARIMA integration. 12 - Sibasish Dhibar, Madhu Jain:
Metaheuristic optimization and strategic behavior of Markovian vacation queue with retrial policy: application to virtual call center. 13 - Nirmala Shinde, Asha Ambhaikar:
An efficient plant disease prediction model based on machine learning and deep learning classifiers. 14 - Pham Dinh Thanh, Nguyen Binh Long, Le Sy Vinh, Huynh Thi Thanh Binh:
Evolutionary multitasking algorithm based on a dynamic solution encoding strategy for the minimum s-club cover problem. 15 - Yogesh Kalidas Kirange, Pragya Nema:
Optimising SMIB system stability: FOPID controller tuning via Harris hawks optimisation. 16 - Falguni Chakraborty, Provas Kumar Roy:
An efficient multilevel thresholding image segmentation through improved elephant herding optimization. 17 - Kolitha Warnakulasooriya, Aviv Segev:
Comparative analysis of accuracy and computational complexity across 21 swarm intelligence algorithms. 18 - Tomohiro Harada:
Fast implementation of extreme learning machine-based directRanker for surrogate-assisted evolutionary algorithms. 19 - Yin-Yin Bao, Jie-Sheng Wang, Jia-Xu Liu, Xiao-Rui Zhao, Qing-Da Yang, Shi-Hui Zhang:
Student psychology based optimization algorithm integrating differential evolution and hierarchical learning for solving data clustering problems. 20 - Sarada Mohapatra, Himadri Lala, Prabhujit Mohapatra:
Modified random-oppositional chaotic artificial rabbit optimization algorithm for solving structural problems and optimal sizing of hybrid renewable energy system. 21 - Cem Özkurt:
Machine learning with industrial robots: exploring the impact of joint angles on Cartesian coordinates using explainable AI. 22 - Shweta Sharma, Anjana Gosain:
Addressing class imbalance in remote sensing using deep learning approaches: a systematic literature review. 23 - Ni-ni He, Wen-chuan Wang, Jun Wang:
Multi-strategy enhanced artificial rabbit optimization algorithm for solving engineering optimization problems. 24 - Nikunj Mashru, Ghanshyam G. Tejani, Pinank Patel:
Reliability-based multi-objective optimization of trusses with greylag goose algorithm. 25 - José Antonio Guerrero-Díaz de León, Rubén Hernández-Torres, Siegfried Macías, Jorge Eduardo Macías-Díaz:
A method for obstacle-range estimation based on echo-location using high-end sound with applications. 26 - Muhammad Naeem Aslam, Nadeem Shaukat, Muhammad Sarmad Arshad, Muhammad Waheed Aslam, Javed Hussain:
An intelligent approach for analyzing the effects of normal tumor immune unhealthy diet model through unsupervised physics informed neural-networks integrated with meta-heuristic algorithms. 27 - Songhua Hu, Hengxin Wang:
DEL: a strategy for resolving redundancy in entity pairs within dual entity linker for relational triple extraction. 28 - Xuewei Zhang:
BIM model generation and protection: an automated solution under deep learning and differential privacy. 29 - Fardowsi Rahman, Md. Ashikur Rahman Khan, Mahbubul Alam:
Hybrid PSO-GA Optimization for Enhancing Decision Tree Performance in Soil Classification and Crop Cultivation Prediction. 30 - Saloua Lagnaoui, Zakariae En-Naimani, Khalid Haddouch:
Stochastic PFRCosSim layer for solving filter redundancy problem in CNNs applied on plant disease classification. 31
Volume 18, Number 2, April 2025
- Laura Ramírez-Pérez, Antonio Ignacio Cuesta-Vargas:
Artificial intelligence in the diagnosis of shoulder injuries through magnetic resonance imaging: a scoping review. 32 - Fabio Stroppa, Ahmet Astar:
Multiple global peaks big bang-big crunch algorithm for multimodal optimization. 33 - Ahmed Ghareeb, Orhan Nooruldeen, Chelang A. Arslan, Sean Kapp, Jun-Ki Choi:
Synergistic optimization of predictive models for water quality analysis in treatment plants using machine learning and evolutionary algorithms. 34 - Xiao-Tian Wang, Jie-Sheng Wang, Song-Bo Zhang, Xun Liu, Yong-Cheng Sun, Yi-Peng Shang-Guan:
Capacity prediction model for lithium-ion batteries based on bi-directional LSTM neural network optimized by adaptive convergence factor gold rush optimizer. 35 - Matina L. Y. Chau, Konstantinos Gkiotsalitis:
A systematic literature review on the use of metaheuristics for the optimisation of multimodal transportation. 36
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