A novel arctic fox survival strategy inspired optimization algorithm DOI

E. Subha,

V. Jothi Prakash,

S. Arul Antran Vijay

et al.

Journal of Combinatorial Optimization, Journal Year: 2024, Volume and Issue: 49(1)

Published: Nov. 14, 2024

Language: Английский

Online learning-enhanced data-driven model predictive control for optimizing HVAC energy consumption, indoor air quality and thermal comfort DOI Creative Commons

Xinyi Sha,

Zhenjun Ma, Subbu Sethuvenkatraman

et al.

Applied Energy, Journal Year: 2025, Volume and Issue: 383, P. 125341 - 125341

Published: Jan. 16, 2025

Language: Английский

Citations

4

Multi-swarm surrogate model assisted PSO algorithm to minimize distribution network energy losses DOI
Goli Vamsi Priya, Sanjib Ganguly

Applied Soft Computing, Journal Year: 2024, Volume and Issue: 159, P. 111616 - 111616

Published: April 16, 2024

Language: Английский

Citations

12

Point cloud registration via sampling-based evolutionary multitasking DOI
Hangqi Ding, Yue Wu, Maoguo Gong

et al.

Swarm and Evolutionary Computation, Journal Year: 2024, Volume and Issue: 89, P. 101535 - 101535

Published: June 24, 2024

Language: Английский

Citations

9

A deep-based Gaussian mixture model algorithm for large-scale many objective optimization DOI
Mingjing Wang, Xiaoping Li, Long Chen

et al.

Applied Soft Computing, Journal Year: 2025, Volume and Issue: unknown, P. 112874 - 112874

Published: Feb. 1, 2025

Language: Английский

Citations

1

Effective and Imperceptible Adversarial Textual Attack via Multi-objectivization DOI Open Access
Shengcai Liu, Ning Lü, Wenjing Hong

et al.

ACM Transactions on Evolutionary Learning and Optimization, Journal Year: 2024, Volume and Issue: 4(3), P. 1 - 23

Published: July 23, 2024

The field of adversarial textual attack has significantly grown over the past few years, where commonly considered objective is to craft examples (AEs) that can successfully fool target model. However, imperceptibility attacks, which also essential for practical attackers, often left out by previous studies. In consequence, crafted AEs tend have obvious structural and semantic differences from original human-written text, making them easily perceptible. this work, we advocate leveraging multi-objectivization address such an issue. Specifically, reformulate problem crafting as a multi-objective optimization problem, auxiliary objective. Then, propose simple yet effective evolutionary algorithm, dubbed HydraText, solve problem. HydraText be effectively applied both score-based decision-based settings. Exhaustive experiments involving 44,237 instances demonstrate consistently achieves competitive success rates better than recently proposed approaches. A human evaluation study shows are more indistinguishable text. Finally, these exhibit good transferability bring notable robustness improvement model training.

Language: Английский

Citations

7

Multi-subswarm cooperative particle swarm optimization algorithm and its application DOI
Yu Tang, Kaicheng Huang, Zhiping Tan

et al.

Information Sciences, Journal Year: 2024, Volume and Issue: 677, P. 120887 - 120887

Published: June 6, 2024

Language: Английский

Citations

7

A modularity-based improved small-world genetic algorithm for large-scale intercell scheduling with flexible routes DOI

Guangshuai Ning,

Qiong Liu, Mengbang Zou

et al.

Computers & Operations Research, Journal Year: 2025, Volume and Issue: unknown, P. 106979 - 106979

Published: Jan. 1, 2025

Language: Английский

Citations

0

A two-stage large-scale multi-objective optimization approach incorporating adaptive entropy and enhanced competitive swarm optimizer DOI
Wenyan Guo, Shenglong Li, Fang Dai

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 127374 - 127374

Published: March 1, 2025

Language: Английский

Citations

0

Auxiliary optimization framework based on scaling transformation matrix for large-scale multi-objective problem DOI
Yuanyuan Ge, Zhanpeng Wang, Hongyan Wang

et al.

Swarm and Evolutionary Computation, Journal Year: 2025, Volume and Issue: 95, P. 101931 - 101931

Published: April 11, 2025

Language: Английский

Citations

0

Multi-objective evolutionary algorithm based on transfer learning and neural networks: Dual operator feature fusion and weight vector adaptation DOI
Xuepeng Ren, Maocai Wang,

Guangming Dai

et al.

Information Sciences, Journal Year: 2024, Volume and Issue: 686, P. 121364 - 121364

Published: Aug. 22, 2024

Language: Английский

Citations

3