RS
Rohit Salgotra
University of Technology Sydney, AGH University of Krakow, Swansea University
Research areas: Computer Science · Artificial Intelligence · Metaheuristic Optimization Algorithms Research · Antenna Design and Optimization · Advanced Multi-Objective Optimization Algorithms
0000-0002-3282-1810
About
A Nature Inspired Computing Enthusiast!
Employment
-
University of Technology Sydney Visiting Fellow2024 - Present
-
AGH University of Krakow Assistant Professor2023 - Present
-
Swansea University Research Officer2022 - 2023
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (74)
- Stagnation-avoidance framework with hybrid dynamics evolutionary algorithms for constrained and combinatorial optimization problems Save
- A property-aware empirical analysis of differential evolution variants using the generalized numerical benchmark generator Save
- Correction: A Contemporary Systematic Review on Meta-heuristic Optimization Algorithms with Their MATLAB and Python Code Reference Save
- A GNBG-Inspired Multi-Component Benchmark Suite with Controlled Difficulty Axes for the IOH BenchDesign Challenge Save
- Beyond Final Fitness: Lagged Behavioural Diagnostics for Analysing Optimisation Heuristics Save
- Claude and Gemini Design Metaheuristics: A Cooperative Multi-LLM Approach Save
- GNBG-III: A Property-Aware Benchmark Suite for Diagnosing Continuous Black-Box Optimizers Save
- When Does Integrated Neuro-Symbolic Learning Help Clinical Tabular Diagnosis? Save
- Three decades of differential evolution: a bibliometric analysis (1995-2025) Save
- Efficient estimation of proton exchange membrane fuel cells parameters using a hybrid swarm intelligent algorithm Save
- MRI neuroimaging-based Alzheimer’s disease stage classification using deep neural network with convolutional block attention module and GAN-style noise injection Save
- A low-level teamwork hybrid model based swarm intelligent algorithm for engineering design optimization Save
- Enhancing differential evolution algorithm for CEC 2014, CEC 2017, CEC 2021, and CEC 2022 test suites Save
- ALSHADE-jSO Algorithm Solving the GNBG-II Test Suite Save
- Constructing Differential Evolution via LLM Prompt Chaining Save
- Numerical Global Optimization Competition on GNBG-II generated Test Suite Save
- A Distributed Energy-Throughput Efficient Cross-Layer Framework Using Hybrid Optimization Algorithm Save
- A hybrid Prairie INFO fission naked algorithm with stagnation mechanism for the parametric estimation of solar photovoltaic systems Save
- A robust automatic generation control system based on Hybrid Aquila Optimizer-Sine Cosine algorithm Save
- Advancing crop recommendation system with supervised machine learning and explainable artificial intelligence Save