A5083968821- Optimization and Mathematical Programming
- Metaheuristic Optimization Algorithms Research
- Fuzzy Systems and Optimization
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Multi-Criteria Decision Making
- Advanced Multi-Objective Optimization Algorithms
- Control Systems and Identification
- Evolutionary Algorithms and Applications
- Advanced Control Systems Optimization
- Water resources management and optimization
- Software System Performance and Reliability
- Fault Detection and Control Systems
- Model Reduction and Neural Networks
- Real-time simulation and control systems
- Advanced Control Systems Design
- Smart Grid Energy Management
- VLSI and Analog Circuit Testing
- Transportation Planning and Optimization
- Structural Health Monitoring Techniques
- Gene Regulatory Network Analysis
- Electric Power System Optimization
- graph theory and CDMA systems
- Infectious Diseases and Mycology
- Poxvirus research and outbreaks
Centurion University of Technology and Management
2024
KIIT University
2013-2022
Odisha University of Agriculture and Technology
2019
Stanford University
2014
National Institutes of Health
2014
University of Maryland, Baltimore County
2014
National Center for Biotechnology Information
2014
Indian Institute of Technology Roorkee
1975-2006
University of Leeds
1979
<ns3:p>Background Traditional optimization methods often struggle to balance global exploration and local refinement, particularly in complex real-world problems. To address this challenge, we introduce a novel hybrid strategy that integrates the Nelder-Mead (NM) technique Genetic Algorithm (GA), named (GANMA). This approach aims enhance performance across various benchmark functions parameter estimation tasks. Methods GANMA combines search capabilities of GA with refinement strength NM. It...
<ns3:p>Background Traditional optimization methods often struggle to balance global exploration and local refinement, particularly in complex real-world problems. To address this challenge, we introduce a novel hybrid strategy that integrates the Nelder-Mead (NM) technique Genetic Algorithm (GA), named (GANMA). This approach aims enhance performance across various benchmark functions parameter estimation tasks. Methods GANMA combines search capabilities of GA with refinement strength NM. It...
Background: This article describes capture of biological information using a hybrid approach that combines natural language processing to extract entities and crowdsourcing with annotators recruited via Amazon Mechanical Turk judge correctness candidate relations. These techniques were applied gene– mutation relations from biomedical abstracts the goal supporting production scale gene–mutation–disease findings as an open source resource for personalized medicine. Results: The system could be...
A new algorithm is presented for the optimal reduction of multi-input, multi-output, time invariant linear systems. It self-contained and requires no external minimization routines. Using an example it shown that has ability to determine correct underlying canonical structure reduced order system. The a ninth boiler model eleventh nuclear reactor are presented.
A technique is presented for obtaining low order state estimators time-invariant, linear systems where estimates of a restricted set variables are required. The based on reducing the system and then designing Kalman filter reduced system.
Abstract A technique is presented for obtaining optimum reduced-order models multi-input, multi-output, linear, time-invariant systems with step and other forms of input. The reduced model approximates in the sense minimum mean square error to transient portion system response, while steady-state matched exactly. Additional informationNotes on contributorsR. N. MISHRAPresent address : Department Electrical Engineering, University Roorkee, Roorkee (U.P.), India.
The paper presents the solution methodology of a multi-objective probabilistic fractional programming problem, where parameters right hand side constraints follow Cauchy distribution. proposed mathematical model can not be solved directly. procedure is completed in three steps. In first step, problem converted to deterministic problem. second it its equivalent Finally, ε -constraint method applied find best compromise solution. A numerical example and application are presented demonstrate model.