Image de couverture de livre

Ecological Cycle Optimizer: A novel nature-inspired metaheuristic algorithm for global optimization

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ma, Boyu, Shi, Jiaxiao, Ji, Yiming, Wang, Zhengpu
Format:	Preprint
Publié:	2025
Sujets:	Neural and Evolutionary Computing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Artificial Protozoa Optimizer (APO): A novel bio-inspired metaheuristic algorithm for engineering optimization
par: Wang, Xiaopeng, et autres
Publié: (2025)

Frog-Snake prey-predation Relationship Optimization (FSRO) : A novel nature-inspired metaheuristic algorithm for feature selection
par: Saitou, Hayata, et autres
Publié: (2024)

Bio-inspired Optimization: metaheuristic algorithms for optimization
par: Game, Pravin S, et autres
Publié: (2020)

New perspectives on the optimal placement of detectors for suicide bombers using metaheuristics
par: Cotta, Carlos, et autres
Publié: (2024)

Prescriptive tool for zero-emissions building fenestration design using hybrid metaheuristic algorithms
par: Caro, Rosana, et autres
Publié: (2025)

Benchmarking metaheuristic algorithms for the bi-objective redundancy allocation problem in repairable systems with multiple strategies
par: Oszczypała, Mateusz, et autres
Publié: (2025)

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

Using metaheuristics for the location of bicycle stations
par: Cintrano, Christian, et autres
Publié: (2024)

ORS: A novel Olive Ridley Survival inspired Meta-heuristic Optimization Algorithm
par: Panigrahi, Niranjan, et autres
Publié: (2024)

Simple Cycle Reservoirs are Universal
par: Li, Boyu, et autres
Publié: (2023)

REMS: a unified solution representation, problem modeling and metaheuristic algorithm design for general combinatorial optimization problems
par: Song, Aijuan, et autres
Publié: (2025)

An approach to the timetabling problem in deregulated railway markets based on metaheuristic algorithms
par: Muñoz-Valero, David, et autres
Publié: (2025)

TreeC: a method to generate interpretable energy management systems using a metaheuristic algorithm
par: Ruddick, Julian, et autres
Publié: (2023)

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

Airport take-off and landing optimization through genetic algorithms
par: Pecker, Fernando Guedan, et autres
Publié: (2024)

A many-objective evolutionary algorithm using indicator-driven weight vector optimization
par: Han, Xiaojing, et autres
Publié: (2025)

Reinforcement learning-enhanced genetic algorithm for wind farm layout optimization
par: Dong, Guodan, et autres
Publié: (2024)

An island-parallel ensemble metaheuristic algorithm for large graph coloring problems
par: Dokeroglu, Tansel, et autres
Publié: (2025)

Linear Simple Cycle Reservoirs at the edge of stability perform Fourier decomposition of the input driving signals
par: Fong, Robert Simon, et autres
Publié: (2024)

A two-phase-ACO algorithm for solving nonlinear optimization problems subjected to fuzzy relational equations
par: Ghodousian, Amin, et autres
Publié: (2024)

Lens-descriptor guided evolutionary algorithm for optimization of complex optical systems with glass choice
par: Antonov, Kirill, et autres
Publié: (2026)

A systematic review of metaheuristics-based and machine learning-driven intrusion detection systems in IoT
par: Ahsan, Mohammad Shamim, et autres
Publié: (2025)

Frenetic Cat-inspired Particle Optimization: a Markov state-switching hybrid swarm optimizer with application to cardiac digital twinning
par: Sánchez, Jorge, et autres
Publié: (2026)

Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representations
par: Hummos, Ali
Publié: (2022)

Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligence
par: He, Xiang, et autres
Publié: (2025)

A Prescription of Methodological Guidelines for Comparing Bio-inspired Optimization Algorithms
par: LaTorre, Antonio, et autres
Publié: (2020)

Research Advances and New Paradigms for Biology-inspired Spiking Neural Networks
par: Zheng, Tianyu, et autres
Publié: (2024)

Minimizing the energy depletion in wireless rechargeable sensor networks using bi-level metaheuristic charging schemes
par: Binh, Huynh Thi Thanh, et autres
Publié: (2025)

A Quantum-inspired Hybrid Swarm Intelligence and Decision-Making for Multi-Criteria ADAS Calibration
par: Pathak, Sanjai, et autres
Publié: (2026)

Evolution of Benchmark: Black-Box Optimization Benchmark Design through Large Language Model
par: Wang, Chen, et autres
Publié: (2026)

A new approach for solving global optimization and engineering problems based on modified Sea Horse Optimizer
par: Hashim, Fatma A., et autres
Publié: (2024)

A survey on pioneering metaheuristic algorithms between 2019 and 2024
par: Dokeroglu, Tansel, et autres
Publié: (2024)

Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
par: Cheng, Ji, et autres
Publié: (2025)

Duck swarm algorithm: theory, numerical optimization, and applications
par: Zhang, Mengjian, et autres
Publié: (2021)

Effective anytime algorithm for multiobjective combinatorial optimization problems
par: Domínguez-Ríos, Miguel Ángel, et autres
Publié: (2024)

UCPO: A Universal Constrained Combinatorial Optimization Method via Preference Optimization
par: Fang, Zhanhong, et autres
Publié: (2025)

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

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

Benchmarking Continuous Dynamic Multi-Objective Optimization: Survey and Generalized Test Suite
par: Shao, Chang, et autres
Publié: (2026)

Brain-inspired Computational Modeling of Action Recognition with Recurrent Spiking Neural Networks Equipped with Reinforcement Delay Learning
par: Nadafian, Alireza, et autres
Publié: (2024)