Dhananjay R. Thiruvady

According to our database1, Dhananjay R. Thiruvady authored at least 55 papers between 2004 and 2024.

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

Timeline

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Bibliography

2024
Genetic-based Constraint Programming for Resource Constrained Job Scheduling.
CoRR, 2024

2023
Minimizing patients total clinical condition deterioration in operating theatre departments.
Ann. Oper. Res., September, 2023

Deterministic sampling in heterogeneous graph neural networks.
Pattern Recognit. Lett., August, 2023

A sustainable and efficient home health care network design model under uncertainty.
Expert Syst. Appl., 2023

A Framework for Empowering Reinforcement Learning Agents with Causal Analysis: Enhancing Automated Cryptocurrency Trading.
CoRR, 2023

Causal Feature Engineering of Price Directions of Cryptocurrencies using Dynamic Bayesian Networks.
CoRR, 2023

Modelling Determinants of Cryptocurrency Prices: A Bayesian Network Approach.
CoRR, 2023

2022
Cyclic Flow Shop Robotic Cell Scheduling Problem With Multiple Part Types.
IEEE Trans. Engineering Management, 2022

Automated Design of Multipass Heuristics for Resource-Constrained Job Scheduling With Self-Competitive Genetic Programming.
IEEE Trans. Cybern., 2022

Surrogate-assisted population based ACO for resource constrained job scheduling with uncertainty.
Swarm Evol. Comput., 2022

Recombinative approaches for the maximum happy vertices problem.
Swarm Evol. Comput., 2022

Enhancing Constraint Programming via Supervised Learning for Job Shop Scheduling.
CoRR, 2022

Adaptive Population-based Simulated Annealing for Uncertain Resource Constrained Job Scheduling.
CoRR, 2022

An Efficient Merge Search Matheuristic for Maximising the Net Present Value of Project Schedules.
CoRR, 2022

Blocking Cyclic Job-Shop Scheduling Problems.
Algorithms, 2022

Applying Artificial Intelligence in Cryptocurrency Markets: A Survey.
Algorithms, 2022

2021
A Genetic Programming Approach for Evolving Variable Selectors in Constraint Programming.
IEEE Trans. Evol. Comput., 2021

Bio-inspired heuristic dynamic programming for high-precision real-time flow control in a multi-tributary river system.
Knowl. Based Syst., 2021

A hybrid deep-learning approach for complex biochemical named entity recognition.
Knowl. Based Syst., 2021

The maximum happy induced subgraph problem: Bounds and algorithms.
Comput. Oper. Res., 2021

Allocating Students to Industry Placements Using Integer Programming and Ant Colony Optimisation.
Algorithms, 2021

Reforming Assessment: Challenges Beyond Design.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training, 2021

2020
Large neighbourhood search based on mixed integer programming and ant colony optimisation for car sequencing.
Int. J. Prod. Res., 2020

The Challenges of Leveraging Threat Intelligence to Stop Data Breaches.
Frontiers Comput. Sci., 2020

Instance Space Analysis for the Car Sequencing Problem.
CoRR, 2020

Multi-objective Beam-ACO for Maximising Reliability and Minimising Communication Overhead in the Component Deployment Problem.
Algorithms, 2020

Solution Merging in Matheuristics for Resource Constrained Job Scheduling.
Algorithms, 2020

Tackling the maximum happy vertices problem in large networks.
4OR, 2020

Augmenting Graph Convolutional Neural Networks with Highpass Filters.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

Simulated Annealing for Single and Mixed Model Assembly Line Balancing with Setups.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Minimizing Total Clinical Deterioration in Operating Theatres.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Authentic individual assessment for team-based software engineering projects.
Proceedings of the ICSE-SEET 2020: 42nd International Conference on Software Engineering, Software Engineering Education and Training, Seoul, South Korea, 27 June, 2020

Just-in-time batch scheduling subject to batch size.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

An Ant Colony Optimisation Based Heuristic for Mixed-model Assembly Line Balancing with Setups.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Evolving Large Reusable Multi-pass Heuristics for Resource Constrained Job Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Minimising Cycle Time in Assembly Lines: A Novel Ant Colony Optimisation Approach.
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020

2019
A hybrid differential evolution algorithm with column generation for resource constrained job scheduling.
Comput. Oper. Res., 2019

Finding happiness: An analysis of the maximum happy vertices problem.
Comput. Oper. Res., 2019

Maximising the Net Present Value of Project Schedules Using CMSA and Parallel ACO.
Proceedings of the Hybrid Metaheuristics - 11th International Workshop, 2019

A Biased Random Key Genetic Algorithm with Rollout Evaluations for the Resource Constraint Job Scheduling Problem.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

2018
Genetic programming approach to learning multi-pass heuristics for resource constrained job scheduling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Towards solving large-scale precedence constrained production scheduling problems in mining.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Resource Constrained Job Scheduling with Parallel Constraint-Based ACO.
Proceedings of the Artificial Life and Computational Intelligence, 2017

2016
A mixed integer linear programming model for reliability optimisation in the component deployment problem.
J. Oper. Res. Soc., 2016

Parallel ant colony optimization for resource constrained job scheduling.
Ann. Oper. Res., 2016

2014
A Lagrangian relaxation and ACO hybrid for resource constrained project scheduling with discounted cash flows.
J. Heuristics, 2014

A Lagrangian-ACO matheuristic for car sequencing.
EURO J. Comput. Optim., 2014

Constraint Programming and Ant Colony System for the Component Deployment Problem.
Proceedings of the International Conference on Computational Science, 2014

Hybrids of Integer Programming and ACO for Resource Constrained Job Scheduling.
Proceedings of the Hybrid Metaheuristics - 9th International Workshop, HM 2014, 2014

A parallel Lagrangian-ACO heuristic for project scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2011
Car sequencing with constraint-based ACO.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2009
Hybridizing Beam-ACO with Constraint Programming for Single Machine Job Scheduling.
Proceedings of the Hybrid Metaheuristics, 6th International Workshop, 2009

Beam-ACO Based on Stochastic Sampling for Makespan Optimization Concerning the TSP with Time Windows.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2009

2008
Strip packing with hybrid ACO: Placement order is learnable.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2004
Mining Negative Rules Using GRD.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004


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