Siddhartha Shakya

Orcid: 0000-0002-9924-9222

According to our database1, Siddhartha Shakya authored at least 61 papers between 2005 and 2023.

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

Timeline

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Bibliography

2023
Comparative Analysis of Metaheuristics Techniques for Trade Data Harmonization.
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

Testing Variants of LSTM Networks for a Production Forecasting Problem.
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

Strengthening Food Security: A Comparison of Food Import Forecasting Models.
Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, 2023

2022
Evolutionary approaches with adaptive operators for the bi-objective TTP.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

On Predicting the Work Load for Service Contractors.
Proceedings of the Artificial Intelligence XXXIX, 2022

Comparing ML Models for Food Production Forecasting.
Proceedings of the Artificial Intelligence XXXIX, 2022

Investigating Prediction Models for Vehicle Demand in a Service Industry.
Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

2021
Evolving Large Scale Prediction Models for Vehicle Volume Forecasting in Service Stations.
Proceedings of the Artificial Intelligence XXXVIII, 2021

AI Based 5G RAN Planning.
Proceedings of the International Symposium on Networks, Computers and Communications, 2021

Investigating binary EAs for Passive In-Building Distributed Antenna Systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Novel secure surgical telepresence using enhanced advanced encryption standard: during, pre and post surgery.
Multim. Tools Appl., 2020

Investigating RNNs for vehicle volume forecasting in service stations.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

An Application of EDA and GA for Permutation Based Spare Part Allocation Problem.
Proceedings of the Artificial Intelligence XXXVII, 2020

An application of GA and EDA for passive in-building distributed antenna systems.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Dynamic programming operators for the bi-objective Traveling Thief Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
iPatch: A Many-Objective Type-2 Fuzzy Logic System for Field Workforce Optimization.
IEEE Trans. Fuzzy Syst., 2019

Optimizing Field Productivity by Mobile Warehouse Deployment Using Evolutionary Algorithms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Evolving Prediction Models with Genetic Algorithm to Forecast Vehicle Volume in a Service Station (Best Application Paper).
Proceedings of the Artificial Intelligence XXXVI, 2019

A Multi-objective Design of In-Building Distributed Antenna System Using Evolutionary Algorithms.
Proceedings of the Artificial Intelligence XXXVI, 2019

Designing Passive Indoor Distributed Antenna System with Practical Constraints Using Binary Encoding.
Proceedings of the 2019 IEEE International Conference on Industrial Engineering and Engineering Management, 2019

Predicting Demand in IoT Enabled Service Stations.
Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2019

2018
A Genetic Algorithm Based System for Simultaneous Optimisation of Workforce Skills and Teams.
Künstliche Intell., 2018

Predicting Fluid Work Demand in Service Organizations Using AI Techniques.
Proceedings of the Artificial Intelligence XXXV, 2018

A GA based network optimization tool for passive in-building distributed antenna systems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Tactical Plan Optimisation for Large Multi-Skilled Workforces Using a Bi-Level Model.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Predicting Service Levels Using Neural Networks.
Proceedings of the Artificial Intelligence XXXIV, 2017

Fuzzy dominance rules for real-world many objective optimization.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Spares parts optimization for legacy telecom networks using a permutation-based evolutionary algorithm.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
A cloud computing based many objective type-2 fuzzy logic system for mobile field workforce area optimization.
Memetic Comput., 2016

A multi-objective genetic type-2 fuzzy logic based system for mobile field workforce area optimization.
Inf. Sci., 2016

A Genetic Algorithm Based Approach for the Simultaneous Optimisation of Workforce Skill Sets and Team Allocation.
Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016

Predictive planning with neural networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A many-objective genetic type-2 fuzzy logic system for the optimal allocation of mobile field engineers.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

A comparison of particle swarm optimization and genetic algorithms for a multi-objective Type-2 fuzzy logic based system for the optimal allocation of mobile field engineers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
A Genetic Algorithm Based Approach for Workforce Upskilling.
Proceedings of the Research and Development in Intelligent Systems XXXII, 2015

Hybrid Optimization Approach for Multi-Layer FTTH Network Design.
Proceedings of the Research and Development in Intelligent Systems XXXII, 2015

Optimising Skill Matching in the Service Industry for Large Multi-skilled Workforces.
Proceedings of the Research and Development in Intelligent Systems XXXII, 2015

A genetic type-2 fuzzy logic based approach for the optimal allocation of mobile field engineers to their working areas.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014
Hierarchical Type-2 Fuzzy Logic Based Real Time Dynamic Operational Planning System.
Proceedings of the Research and Development in Intelligent Systems XXXI, 2014

2013
A genetic interval type-2 fuzzy logic based approach for operational resource planning.
Proceedings of the FUZZ-IEEE 2013, 2013

A fuzzy-genetic tactical resource planner for workforce allocation.
Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2013

Enhancing Field Service Operations via Fuzzy Automation of Tactical Supply Plan.
Proceedings of the Transforming Field and Service Operations, 2013

The Role of Service Quality in Transforming Operations.
Proceedings of the Transforming Field and Service Operations, 2013

Understanding Team Dynamics with Agent-Based Simulation.
Proceedings of the Transforming Field and Service Operations, 2013

2012
Neural network demand models and evolutionary optimisers for dynamic pricing.
Knowl. Based Syst., 2012

A Markovianity based optimisation algorithm.
Genet. Program. Evolvable Mach., 2012

A type2 Fuzzy Logic System for workforce management in the telecommunications domain.
Proceedings of the FUZZ-IEEE 2012, 2012

Tactical Resource Planner for Workforce Allocation in Telecommunications.
Proceedings of the Autonomous and Intelligent Systems - Third International Conference, 2012

2011
Intelligent Tuning of a Dynamic Business Simulation Environment.
Proceedings of the Research and Development in Intelligent Systems XXVIII, 2011

2010
An AI-based system for pricing diverse products and services.
Knowl. Based Syst., 2010

Dynamic Pricing with Neural Network Demand Models and Evolutionary Algorithms.
Proceedings of the Research and Development in Intelligent Systems XXVII, 2010

2009
A fully multivariate DEUM algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Structure learning and optimisation in a Markov-network based estimation of distribution algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Analysing the Effect of Demand Uncertainty in Dynamic Pricing with EAs.
Proceedings of the Research and Development in Intelligent Systems XXV, 2008

An EDA based on local markov property and gibbs sampling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007
Optimization by estimation of distribution with DEUM framework based on Markov random fields.
Int. J. Autom. Comput., 2007

An application of EDA and GA to dynamic pricing.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Solving the Ising Spin Glass Problem using a Bivariate EDA based on Markov Random Fields.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Using a Markov network model in a univariate EDA: an empirical cost-benefit analysis.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Incorporating a Metropolis method in a distribution estimation using Markov random field algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005


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