Fuzzy constraint satisfaction problem

Results 51 to 60 of about 7,040,272 (244)

Model predictive control with inline parameter adaptation for direct crystal growth rate regulation

AIChE Journal, EarlyView.
Abstract In batch cooling crystallization, many interactive factors, including supersaturation, reactor dimensions, and operating conditions, govern crystal growth and significantly influence product properties. Variables such as temperature or refractive index are used as surrogate control variables but have limitations in capturing growth rate ...
Huitian Yu, Jiewen Zhao, Heiko Briesen
wiley +1 more source

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo, Lidong Yang, Tiantian Xu, Dong Sun +3 more
wiley +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li +3 more
wiley +1 more source

Hierarchical Multiobjective Linear Fractional Stochastic Optimization Problem Under Neutrosophic Environment With Its Application in Industrial Production Planning Problems

Journal of Applied Mathematics
In real-world organizations—such as industry companies, agriculture sectors, and transportation control systems—there exist several complexities, such as hierarchical decision-makers (DMs) optimizing multiple conflicting ratio-based goals, resources ...
Demmelash Mollalign Moges +2 more
doaj +1 more source

Expressing constraint satisfaction problems in declarative modeling using natural language and fuzzy sets [PDF]

Computers & Graphics, 2000
Abstract The aim of this paper is to provide a new model of fuzzy or vague properties according to linguistic notions within the scope of declarative modeling and constraint satisfaction problems (CSPs). Some generic modifiers and generic fuzzy operators are applied on these properties.
openaire +2 more sources

Investigation of Analog Memristor Characteristics for Hardware Synaptic Weight in Multilayer Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The systematic design of memristor‐based neural network is provided by analog conductance state parameters to accurately emulate the software‐based high‐resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of ...
Jingon Jang, Yoonseok Song, Sungjun Park
wiley +1 more source

Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers

Advanced Intelligent Systems, EarlyView.
A heterogeneous graph transformer (HGT) is introduced for reinforcement learning‐based job shop scheduling by explicitly distinguishing precedence and machine‐contention relations through edge‐type‐specific attention. The proposed framework learns richer scheduling representations, improves decision quality over homogeneous graph models, and highlights
Bulent Soykan, Fatih Kasimoglu
wiley +1 more source

Combining Systematic and Local Search for Approximately Solving Fuzzy Constraint Satisfaction Problems

Transactions of the Japanese Society for Artificial Intelligence, 2006
A fuzzy constraint satisfaction problem (FCSP) is an extension of the classical CSP, a powerful tool for modeling various problems based on constraints among variables. Basically, the algorithms for solving CSPs are classified into two categories: the systematic search (complete methods based on search trees) and the local search (approximate methods ...
Sudo, Yasuhiro, Kurihara, Masahito
openaire +2 more sources

Balancing Exploration and Exploitation Through a Sequential Hybrid of Roach Infestation and Mayfly Algorithms for Constrained Engineering Design Optimization

AI &Innovation, EarlyView.
ABSTRACT Maintaining an effective balance between exploration and exploitation is essential during optimization processes, from mathematical functions to more complex problems such as constrained engineering design optimization, particularly when addressing highly nonlinear issues with numerous local optima and strict feasibility requirements.
Enrique Lizárraga +3 more
wiley +1 more source

Maximum constraint satisfaction on diamonds [PDF]

In this paper we study the complexity of the (weighted) maximum constr aint satisfaction problem (Max CSP) over an arbitrary finite domain. In this pro blem, one is given a collection of weighted constraints on overlapping sets of v ariables, and the ...
Krokhin, Andrei, Larose, Benoit
core

uncertainty
constraint satisfaction