Atiya Masood

Orcid: 0000-0002-4620-4709

According to our database1, Atiya Masood authored at least 11 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Evolving Many-Objective Job Shop Scheduling Dispatching Rules via Genetic Programming With Adaptive Search Based on the Frequency of Features.
IEEE Access, 2025

2023
Genetic Programming with Adaptive Reference Points for Pareto Local Search in Many-Objective Job Shop Scheduling.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022
Genetic Programming Hyper-heuristic with Gaussian Process-based Reference Point Adaption for Many-Objective Job Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Feature Selection for Evolving Many-Objective Job Shop Scheduling Dispatching Rules with Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Many-Objective Genetic Programming for Job-Shop Scheduling.
PhD thesis, 2020

A Fitness-based Selection Method for Pareto Local Search for Many-Objective Job Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Genetic Programming with Pareto Local Search for Many-Objective Job Shop Scheduling.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

2018
Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2018

Adaptive Reference Point Generation for Many-Objective Optimization Using NSGA-III.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017
A PSO-Based Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling.
Proceedings of the Artificial Life and Computational Intelligence, 2017

2016
Many-objective genetic programming for job-shop scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016


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