- A hybrid particle swarm optimization and recurrent dynamic neural ...🔍
- Mohammad Mahdi Dehshibi🔍
- A Novel Hybrid Multi|Objective Population Migration Algorithm🔍
- Novel hybrid firefly algorithm🔍
- Effective PID controller design using a novel hybrid algorithm for ...🔍
- A novel hybrid genetic algorithm for optimal design of IPM machines ...🔍
- A Novel Hybrid Crow Search Arithmetic Optimization Algorithm for ...🔍
- A novel hybrid particle swarm optimization with marine predators🔍
A novel hybrid algorithm for optimization in multimodal Dynamic ...
A hybrid particle swarm optimization and recurrent dynamic neural ...
In this work, a new hybrid algorithm referred to as the PSO-RDNN algorithm combined with the weighted sum technique was applied for multi- ...
Mohammad Mahdi Dehshibi - Google 학술 검색 - Google Scholar
A Novel Hybrid Algorithm for Optimization in Multimodal Dynamic Environments. A Sepas-Moghaddam, D Yazdani, A Arabshahi, MM Dehshibi. Hybrid Intelligent Systems ...
A Novel Hybrid Multi-Objective Population Migration Algorithm
This paper presents a multi-objective co-evolutionary population migration algorithm based on Good Point Set (GPSMCPMA) for multi-objective optimization ...
Novel hybrid firefly algorithm: an application to enhance XGBoost ...
The research proposed in this article presents a novel improved version of the widely adopted firefly algorithm and its application for ...
Effective PID controller design using a novel hybrid algorithm for ...
This paper discusses the merging of two optimization algorithms, atom search optimization and particle swarm optimization, to create a hybrid algorithm.
A novel hybrid genetic algorithm for optimal design of IPM machines ...
... multi-objective optimization for the motor. But its defect in common with ... dynamic structures. Special issue on Nonlinear Dynamics in General and ...
A Novel Hybrid Crow Search Arithmetic Optimization Algorithm for ...
... multimodal in nature, and real-time optimization problems related to power systems, such as the weighted dynamic economic emission dispatch (DEED) problem.
Mohammad Mahdi Dehshibi - Google Scholar
A Novel Hybrid Algorithm for Optimization in Multimodal Dynamic Environments. A Sepas-Moghaddam, D Yazdani, A Arabshahi, MM Dehshibi. Hybrid Intelligent ...
A novel hybrid particle swarm optimization with marine predators
... dynamic multi-objective particle swarm optimization algorithm based on adversarial decomposition and neighborhood evolution. Zheng J., Zhang ...
A novel hybrid genetic algorithm and Nelder-Mead... | F1000Research
GANMA proves to be a flexible and powerful optimization method suitable for both benchmark optimization and real-world parameter estimation challenges.
A novel hybrid algorithm based on Stochastic Fractal ... - DergiPark
To make the proposed algorithm dynamic, Gaussian ... Lin, J., Wang, Z.J., Multi ... novel hybrid algorithm based on biogeography-based optimization and grey wolf ...
... Model (DLM) for Dynamic Restless Multi-Armed ... MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model ...
Awesome 3D Gaussian Splatting Resources - GitHub
Our main idea involves the joint optimization of geometry, appearance, semantics, and motion using a combination of static and dynamic 3D Gaussians, where ...
Accepted Main Conference Papers - ACL 2024
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training ... Multimodal Model Yebin Lee, Imseong Park, Myungjoo Kang; MentalManip: A ...
CMC-Computers, Materials & Continua | An Open Access Journal ...
Deep learning-based detection methods have been utilized to address the challenge posed by small objects. In this work, we propose a novel method, the Multi ...
Journal of Machine Learning Research
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model ... Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and ...
Multi-agent system - Wikipedia
A multi-agent system is a computerized system composed of multiple interacting intelligent agents. Multi-agent systems can solve problems that are difficult ...
... novel somatic variants may impact cardiovascular health using a multi ... This position will involve the development and implementation of novel algorithms for ...
Program for MobiCom 2024 - SIGMOBILE
ParallelSFL: A Novel Split Federated Learning ... MuV2: Scaling up Multi-user Mobile Volumetric Video Streaming via Content Hybridization and Sharing
In statistics and control theory, Kalman filtering is an algorithm that uses a series of measurements observed over time, including statistical noise and ...