Copertina

A many-objective evolutionary algorithm using indicator-driven weight vector optimization

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Han, Xiaojing, Li, Yuanxin
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Neural and Evolutionary Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Optimistic variants of single-objective bilevel optimization for evolutionary algorithms
di: Sharma, Anuraganand
Pubblicazione: (2020)

Lens-descriptor guided evolutionary algorithm for optimization of complex optical systems with glass choice
di: Antonov, Kirill, et al.
Pubblicazione: (2026)

Adversarial attacks to image classification systems using evolutionary algorithms
di: Nesmachnow, Sergio, et al.
Pubblicazione: (2025)

Estimation of total body fat using symbolic regression and evolutionary algorithms
di: Muñoz, Jose-Manuel, et al.
Pubblicazione: (2025)

Weighted strategies to guide a multi-objective evolutionary algorithm for multi-UAV mission planning
di: Ramirez-Atencia, Cristian, et al.
Pubblicazione: (2024)

A parallel evolutionary algorithm to optimize dynamic memory managers in embedded systems
di: Risco-Martín, José L., et al.
Pubblicazione: (2024)

A two-stage algorithm in evolutionary product unit neural networks for classification
di: Tallón-Ballesteros, Antonio J., et al.
Pubblicazione: (2024)

Using evolutionary computation to optimize task performance of unclocked, recurrent Boolean circuits in FPGAs
di: Norman-Tenazas, Raphael, et al.
Pubblicazione: (2024)

Comparative approach: Electric distribution optimization with loss minimization algorithm and particle swarm optimization
di: Bouabbadi, Soufiane
Pubblicazione: (2024)

Quantum evolutionary algorithm for TSP combinatorial optimisation problem
di: Ma, Yijiang, et al.
Pubblicazione: (2024)

Airport take-off and landing optimization through genetic algorithms
di: Pecker, Fernando Guedan, et al.
Pubblicazione: (2024)

Evolutionary thoughts: integration of large language models and evolutionary algorithms
di: Yepes, Antonio Jimeno, et al.
Pubblicazione: (2025)

Ecological Cycle Optimizer: A novel nature-inspired metaheuristic algorithm for global optimization
di: Ma, Boyu, et al.
Pubblicazione: (2025)

Reinforcement learning-enhanced genetic algorithm for wind farm layout optimization
di: Dong, Guodan, et al.
Pubblicazione: (2024)

Optimization of breeding program design through stochastic simulation with evolutionary algorithms
di: Hassanpour, Azadeh, et al.
Pubblicazione: (2024)

A two-phase-ACO algorithm for solving nonlinear optimization problems subjected to fuzzy relational equations
di: Ghodousian, Amin, et al.
Pubblicazione: (2024)

A reinforcement learning guided hybrid evolutionary algorithm for the latency location routing problem
di: Zou, Yuji, et al.
Pubblicazione: (2024)

Accelerating evolutionary exploration through language model-based transfer learning
di: Reissmann, Maximilian, et al.
Pubblicazione: (2024)

Assessing an evolutionary search engine for small language models, prompts, and evaluation metrics
di: Lopes, Cláudio Lúcio do Val, et al.
Pubblicazione: (2025)

Constrained multi-objective optimization for multi-UAV planning
di: Ramirez-Atencia, Cristian, et al.
Pubblicazione: (2024)

Multi-objective evolutionary GAN for tabular data synthesis
di: Ran, Nian, et al.
Pubblicazione: (2024)

Artificial Protozoa Optimizer (APO): A novel bio-inspired metaheuristic algorithm for engineering optimization
di: Wang, Xiaopeng, et al.
Pubblicazione: (2025)

Prescriptive tool for zero-emissions building fenestration design using hybrid metaheuristic algorithms
di: Caro, Rosana, et al.
Pubblicazione: (2025)

New perspectives on the optimal placement of detectors for suicide bombers using metaheuristics
di: Cotta, Carlos, et al.
Pubblicazione: (2024)

Benchmarking metaheuristic algorithms for the bi-objective redundancy allocation problem in repairable systems with multiple strategies
di: Oszczypała, Mateusz, et al.
Pubblicazione: (2025)

Determining the significance and relative importance of parameters of a simulated quenching algorithm using statistical tools
di: Castillo, Pedro A., et al.
Pubblicazione: (2024)

Optimizing quantum circuits with evolutionary algorithms for stable Boolean gates, elementary cellular automata, and highly entangled quantum states
di: Bhandari, Shailendra, et al.
Pubblicazione: (2024)

Duck swarm algorithm: theory, numerical optimization, and applications
di: Zhang, Mengjian, et al.
Pubblicazione: (2021)

Effective anytime algorithm for multiobjective combinatorial optimization problems
di: Domínguez-Ríos, Miguel Ángel, et al.
Pubblicazione: (2024)

MOELIGA: a multi-objective evolutionary approach for feature selection with local improvement
di: Vignolo, Leandro, et al.
Pubblicazione: (2026)

SpikePool: Event-driven Spiking Transformer with Pooling Attention
di: Lee, Donghyun, et al.
Pubblicazione: (2025)

Large Language Model Assisted Automated Algorithm Generation and Evolution via Meta-black-box optimization
di: Yang, Xu, et al.
Pubblicazione: (2025)

Improving genetic algorithms performance via deterministic population shrinkage
di: Laredo, Juan Luis Jiménez, et al.
Pubblicazione: (2024)

Contributions to the development of the CRO-SL algorithm: Engineering applications problems
di: Camacho-Gómez, Carlos
Pubblicazione: (2018)

Use of a genetic algorithm to find solutions to introductory physics problems
di: Bensky, Tom, et al.
Pubblicazione: (2025)

Embedded feature selection in LSTM networks with multi-objective evolutionary ensemble learning for time series forecasting
di: Espinosa, Raquel, et al.
Pubblicazione: (2023)

Neural auto-association with optimal Bayesian learning
di: Knoblauch, Andreas
Pubblicazione: (2024)

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms
di: Talbi, El-ghazali
Pubblicazione: (2025)

A fuzzy adaptive evolutionary-based feature selection and machine learning framework for single and multi-objective body fat prediction
di: Keivanian, Farshid, et al.
Pubblicazione: (2023)

jaxsnn: Event-driven Gradient Estimation for Analog Neuromorphic Hardware
di: Müller, Eric, et al.
Pubblicazione: (2024)