Zhang Jincheng
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View article: Cryogenics-Inspired Entropy-Guided Gradient Dynamics for Optimization
Cryogenics-Inspired Entropy-Guided Gradient Dynamics for Optimization Open
This paper proposes a novel optimization algorithm called Cryo-Entropy Gradient Dynamics (CEGD), which is inspired by three key phenomena in cryogenics and low-temperature physics: phase condensation, dilution flow, and quantum fluctuation…
View article: Optical Imaging and Micro-optics Inspired Adaptive Interference Optimization Algorithm
Optical Imaging and Micro-optics Inspired Adaptive Interference Optimization Algorithm Open
Optical imaging and micro-optics technologies play a central role in modern optoelectronics, with core characteristics including phase manipulation, interferometric control, multi-scale optical field processing, and dynamic adjustment of t…
View article: Design and Mathematical Analysis of Plasma Self-Organized High-Energy Optimizer
Design and Mathematical Analysis of Plasma Self-Organized High-Energy Optimizer Open
This paper proposes a novel heuristic optimization algorithm inspired by plasma and high-energy-density physics—the Plasma Self-Organized High-Energy Optimizer (PSO-H). This algorithm treats candidate solutions in the search space as charg…
View article: Dynamical Chaos-driven Optimization Algorithm Inspired by Chaos Theory and Dynamical Systems
Dynamical Chaos-driven Optimization Algorithm Inspired by Chaos Theory and Dynamical Systems Open
Optimization problems have wide applications in science and engineering, especially the optimization of high-dimensional, non-convex, multi-modal complex functions. Traditional heuristic algorithms, such as genetic algorithms, particle swa…
View article: Reliability-Embedded Prognostic Optimization: Methods, Mechanisms, and Mathematical Modeling
Reliability-Embedded Prognostic Optimization: Methods, Mechanisms, and Mathematical Modeling Open
With the development of intelligent and predictive maintenance in industrial equipment, optimization problems increasingly emphasize the reliability and lifespan of solutions. Traditional optimization algorithms primarily rely on objective…
View article: SHM-Inspired Optimization Algorithm with Adaptive Sensor Evolution
SHM-Inspired Optimization Algorithm with Adaptive Sensor Evolution Open
Structural Health Monitoring (SHM) plays a crucial role in the field of structural safety engineering. Its core idea is to monitor and predict structural conditions in real time through multi-point sensing, dynamic health index assessment,…
View article: Heuristic Adaptive Evolutionary Knowledge Discovery
Heuristic Adaptive Evolutionary Knowledge Discovery Open
With the development of big data and artificial intelligence, Automated Knowledge Discovery (AKD) is becoming increasingly important in data analysis, intelligent decision-making, and knowledge management. Traditional knowledge discovery m…
View article: Quantum Thermodynamics Inspired Heuristic Optimization Algorithm
Quantum Thermodynamics Inspired Heuristic Optimization Algorithm Open
This paper proposes a novel heuristic optimization algorithm that directly draws upon the core principles of quantum thermodynamics, including coherent evolution, thermal dissipation, quantum fluctuations, entropy generation, and the work-…
View article: A Study on Self-Healing Autonomous Heuristic Optimization Algorithm
A Study on Self-Healing Autonomous Heuristic Optimization Algorithm Open
With the increasing complexity of networks and the growing scale of optimization problems, traditional optimization algorithms face challenges such as low efficiency, susceptibility to local optima, and poor adaptability when dealing with …
View article: Cognitive-Feedback Guided Heuristic Optimization for Interactive Information Retrieval
Cognitive-Feedback Guided Heuristic Optimization for Interactive Information Retrieval Open
When dealing with complex user information needs, traditional single-round retrieval methods in information retrieval systems suffer from problems such as incomplete query expression, dynamic changes in user needs, and local optima in docu…
View article: Green Energy-adaptive Heuristic Optimization: A Study on Energy-efficient Computing and Green IT
Green Energy-adaptive Heuristic Optimization: A Study on Energy-efficient Computing and Green IT Open
With the rapid development of information technology and computing systems, the energy consumption of data centers, large-scale cloud computing, and artificial intelligence tasks has become increasingly prominent. Green IT and energy-effic…
View article: Reliability-Embedded Prognostic Optimization: Methods, Mechanisms, and Mathematical Modeling
Reliability-Embedded Prognostic Optimization: Methods, Mechanisms, and Mathematical Modeling Open
With the development of intelligent and predictive maintenance in industrial equipment, optimization problems increasingly emphasize the reliability and lifespan of solutions. Traditional optimization algorithms primarily rely on objective…
View article: Heuristic Adaptive Evolutionary Knowledge Discovery
Heuristic Adaptive Evolutionary Knowledge Discovery Open
With the development of big data and artificial intelligence, Automated Knowledge Discovery (AKD) is becoming increasingly important in data analysis, intelligent decision-making, and knowledge management. Traditional knowledge discovery m…
View article: Micro/Nanorobotics Inspired Multi-Field Interaction Optimization: Algorithm Design and Mathematical Modeling
Micro/Nanorobotics Inspired Multi-Field Interaction Optimization: Algorithm Design and Mathematical Modeling Open
Micro/nanororobotics are intelligent robotic systems ranging from micrometers to nanometers in size, characterized by complex motion in low Reynolds number fluid environments, sensitivity to microscopic environments, self-assembly, and mul…
View article: Acoustic-Ultrasonic Field Inspired Optimization Algorithm: Theory and Methodology
Acoustic-Ultrasonic Field Inspired Optimization Algorithm: Theory and Methodology Open
This paper proposes a novel heuristic optimization algorithm based on acoustic and ultrasonic technologies, called Acoustic-Ultrasonic Field Optimization (AUFO). Starting from the principles of physical acoustics and ultrasonics, the algor…
View article: Quantum-State Encoding Optimization Algorithm Inspired by Post-Quantum Cryptography
Quantum-State Encoding Optimization Algorithm Inspired by Post-Quantum Cryptography Open
With the rapid development of quantum computing technology, traditional optimization algorithms are prone to getting trapped in local optima when dealing with high-dimensional, multi-modal, and complex constrained problems, and traditional…
View article: Dynamic Adaptive Modular Optimization Algorithm Inspired by Reconfigurable Manufacturing Systems
Dynamic Adaptive Modular Optimization Algorithm Inspired by Reconfigurable Manufacturing Systems Open
With the increasing demands for personalized, multi-variety, and small-batch production in modern manufacturing, traditional optimization algorithms are often limited by local optima traps and low global search efficiency when dealing with…
View article: Perception-Localization Collaborative Adaptive Heuristic Optimization for Vehicle Systems
Perception-Localization Collaborative Adaptive Heuristic Optimization for Vehicle Systems Open
Remote vehicle perception and localization are core technologies for autonomous driving and intelligent connected vehicles. Their goal is to achieve precise estimation of the vehicle's own pose and high-precision perception of the surround…
View article: Optical Imaging and Micro-optics Inspired Adaptive Interference Optimization Algorithm
Optical Imaging and Micro-optics Inspired Adaptive Interference Optimization Algorithm Open
Optical imaging and micro-optics technologies play a central role in modern optoelectronics, with core characteristics including phase manipulation, interferometric control, multi-scale optical field processing, and dynamic adjustment of t…
View article: Modular Composition Optimization Algorithm Inspired by Composable Software Systems
Modular Composition Optimization Algorithm Inspired by Composable Software Systems Open
As software system complexity increases, composable software and modular systems have gradually become core concepts in software engineering and system design. Modularity emphasizes that a system consists of autonomous, loosely coupled, an…
View article: Study on Multi-Flow Adaptive Optimization Algorithm Inspired by Non-equilibrium Statistical Physics
Study on Multi-Flow Adaptive Optimization Algorithm Inspired by Non-equilibrium Statistical Physics Open
Optimization problems have wide applications in engineering, physics, computer science, and artificial intelligence. However, traditional optimization algorithms, such as gradient descent, simulated annealing, and particle swarm optimizati…
View article: Quantum Thermodynamics Inspired Heuristic Optimization Algorithm
Quantum Thermodynamics Inspired Heuristic Optimization Algorithm Open
This paper proposes a novel heuristic optimization algorithm that directly draws upon the core principles of quantum thermodynamics, including coherent evolution, thermal dissipation, quantum fluctuations, entropy generation, and the work-…
View article: SHM-Inspired Optimization Algorithm with Adaptive Sensor Evolution
SHM-Inspired Optimization Algorithm with Adaptive Sensor Evolution Open
Structural Health Monitoring (SHM) plays a crucial role in the field of structural safety engineering. Its core idea is to monitor and predict structural conditions in real time through multi-point sensing, dynamic health index assessment,…
View article: Marine Robotics Inspired Adaptive Deep-Sea Exploration Optimization
Marine Robotics Inspired Adaptive Deep-Sea Exploration Optimization Open
Marine robots and autonomous underwater vehicles (AUVs) have wide applications in deep-sea exploration, environmental monitoring, resource exploration, and seabed engineering. However, traditional optimization algorithms struggle to fully …
View article: Hierarchical Heuristic Collaborative Adaptive Explainable Decisioning (HHCA-XAD)
Hierarchical Heuristic Collaborative Adaptive Explainable Decisioning (HHCA-XAD) Open
With the widespread application of artificial intelligence in finance, healthcare, law, and industrial management, automated decision-making systems have become crucial decision support tools. However, traditional automated decision-making…
View article: Dynamical Chaos-driven Optimization Algorithm Inspired by Chaos Theory and Dynamical Systems
Dynamical Chaos-driven Optimization Algorithm Inspired by Chaos Theory and Dynamical Systems Open
Optimization problems have wide applications in science and engineering, especially the optimization of high-dimensional, non-convex, multi-modal complex functions. Traditional heuristic algorithms, such as genetic algorithms, particle swa…
View article: Cognitive-Feedback Guided Heuristic Optimization for Interactive Information Retrieval
Cognitive-Feedback Guided Heuristic Optimization for Interactive Information Retrieval Open
When dealing with complex user information needs, traditional single-round retrieval methods in information retrieval systems suffer from problems such as incomplete query expression, dynamic changes in user needs, and local optima in docu…
View article: Marine Robotics Inspired Adaptive Deep-Sea Exploration Optimization
Marine Robotics Inspired Adaptive Deep-Sea Exploration Optimization Open
Marine robots and autonomous underwater vehicles (AUVs) have wide applications in deep-sea exploration, environmental monitoring, resource exploration, and seabed engineering. However, traditional optimization algorithms struggle to fully …
View article: Adaptive Resonance Scheduling Algorithm Inspired by Flexible Production Lines & On-demand Manufacturing
Adaptive Resonance Scheduling Algorithm Inspired by Flexible Production Lines & On-demand Manufacturing Open
As the manufacturing industry moves towards intelligence and personalization, flexible production lines (FPL) and on-demand manufacturing (ODM) have become crucial technologies for achieving efficient production and customer responsiveness…
View article: MAS-Based Adaptive Cooperative Optimization Algorithm (MAS-ACOA)
MAS-Based Adaptive Cooperative Optimization Algorithm (MAS-ACOA) Open
Multi-agent Systems Theory (MAS Theory) provides a mathematical framework for studying complex distributed intelligent systems. This paper proposes a novel adaptive cooperative optimization algorithm (MAS-ACOA) based on MAS Theory. By intr…