Siddhartha Shakya

发表

Solving the Ising Spin Glass Problem using a Bivariate EDA based on Markov Random Fields

Siddhartha Shakya, John A. W. McCall, Deryck Forsyth Brown, 2006, 2006 IEEE International Conference on Evolutionary Computation.

A fully multivariate DEUM algorithm

Gilbert Owusu, Siddhartha Shakya, John A. W. McCall, 2009, 2009 IEEE Congress on Evolutionary Computation.

A GA based network optimization tool for passive in-building distributed antenna systems

Siddhartha Shakya, Kin Fai Poon, Anis Ouali, 2018, GECCO.

Tactical Resource Planner for Workforce Allocation in Telecommunications

Hani Hagras, Gilbert Owusu, Siddhartha Shakya, 2012, AIS.

The Markov network fitness model

Siddhartha Shakya, John McCall, Alexander E.I. Brownlee, 2012 .

DEUM: Distribution Estimation Using Markov

Gilbert Owusu, Siddhartha Shakya, John McCall, 2012 .

Analysing the Effect of Demand Uncertainty in Dynamic Pricing with EAs

Gilbert Owusu, Siddhartha Shakya, Fernando Oliveira, 2008, SGAI Conf..

Predictive planning with neural networks

Gilbert Owusu, Siddhartha Shakya, John A. W. McCall, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Optimization by estimation of distribution with DEUM framework based on Markov random fields

Siddhartha Shakya, John McCall, J. McCall, 2007, Int. J. Autom. Comput..

A many-objective genetic type-2 fuzzy logic system for the optimal allocation of mobile field engineers

Hani Hagras, Gilbert Owusu, Siddhartha Shakya, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Predicting Fluid Work Demand in Service Organizations Using AI Techniques

Gilbert Owusu, Siddhartha Shakya, Russell Ainslie, 2018, SGAI Conf..

Understanding Team Dynamics with Agent-Based Simulation

Gilbert Owusu, Siddhartha Shakya, John A. W. McCall, 2013, Transforming Field and Service Operations.

Enhancing Field Service Operations via Fuzzy Automation of Tactical Supply Plan

Hani Hagras, Gilbert Owusu, Siddhartha Shakya, 2013, Transforming Field and Service Operations.

Markov Networks in Evolutionary Computation

Siddhartha Shakya, Roberto Santana, 2012 .

A Genetic Algorithm Based Approach for the Simultaneous Optimisation of Workforce Skill Sets and Team Allocation

Hani Hagras, Gilbert Owusu, Siddhartha Shakya, 2016, SGAI Conf..

A Review of Estimation of Distribution Algorithms and Markov Networks

Siddhartha Shakya, Roberto Santana, Roberto Santana, 2012 .

Applications of Distribution Estimation Using Markov Network Modelling (DEUM)

Siddhartha Shakya, Alexander E.I. Brownlee, John McCall, 2012 .

A fuzzy-genetic tactical resource planner for workforce allocation

Hani Hagras, Gilbert Owusu, Siddhartha Shakya, 2013, 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

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

Hani Hagras, Gilbert Owusu, Siddhartha Shakya, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Hybrid Optimization Approach for Multi-Layer FTTH Network Design

Siddhartha Shakya, Peng Yong Kong, Kin Fai Poon, 2015, SGAI Conf..

Dynamic Pricing with Neural Network Demand Models and Evolutionary Algorithms

Gilbert Owusu, Siddhartha Shakya, Mathias Kern, 2010, SGAI Conf..

An application of EDA and GA to dynamic pricing

Gilbert Owusu, Siddhartha Shakya, Fernando Oliveira, 2007, GECCO '07.

DEUM - Distribution Estimation Using Markov Networks

Gilbert Owusu, Siddhartha Shakya, Alexander E.I. Brownlee, 2012 .

An EDA based on local markov property and gibbs sampling

Siddhartha Shakya, Roberto Santana, 2008, GECCO '08.

An AI-Based System for Pricing Diverse Products and Services

Gilbert Owusu, Siddhartha Shakya, Choong Ming Chin, 2009, SGAI Conf..

Optimising Skill Matching in the Service Industry for Large Multi-skilled Workforces

Gilbert Owusu, Siddhartha Shakya, John A. W. McCall, 2015, SGAI Conf..

A Genetic Algorithm Based System for Simultaneous Optimisation of Workforce Skills and Teams

Hani Hagras, Gilbert Owusu, Siddhartha Shakya, 2018, KI - Künstliche Intelligenz.

Structure learning and optimisation in a Markov-network based estimation of distribution algorithm

Qingfu Zhang, Siddhartha Shakya, John A. W. McCall, 2009, 2009 IEEE Congress on Evolutionary Computation.

Hierarchical Type-2 Fuzzy Logic Based Real Time Dynamic Operational Planning System

Hani Hagras, Gilbert Owusu, Siddhartha Shakya, 2014, SGAI Conf..

Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms

Siddhartha Shakya, John A. W. McCall, Andrei Petrovski, 2006, GECCO '06.

Probabilistic Graphical Models and Markov Networks

Siddhartha Shakya, Roberto Santana, Roberto Santana, 2012 .

The Role of Service Quality in Transforming Operations

Gilbert Owusu, Siddhartha Shakya, Paul O'Brien, 2013, Transforming Field and Service Operations.

DEUM : a framework for an estimation of distribution algorithm based on Markov random fields

Siddhartha Shakya, S. Shakya, 2006 .

MOA - Markovian Optimisation Algorithm

Siddhartha Shakya, Roberto Santana, Roberto Santana, 2012 .

A multi-objective genetic type-2 fuzzy logic based system for mobile field workforce area optimization

Hani Hagras, Gilbert Owusu, Siddhartha Shakya, 2016, Inf. Sci..

A Markovianity based optimisation algorithm

Siddhartha Shakya, Roberto Santana, José Antonio Lozano, 2012, Genetic Programming and Evolvable Machines.

A Genetic Algorithm Based Approach for Workforce Upskilling

Hani Hagras, Gilbert Owusu, Siddhartha Shakya, 2015, SGAI Conf..

An AI-based system for pricing diverse products and services

Gilbert Owusu, Siddhartha Shakya, Choong Ming Chin, 2010, Knowl. Based Syst..

Neural network demand models and evolutionary optimisers for dynamic pricing

Gilbert Owusu, Siddhartha Shakya, Mathias Kern, 2012, Knowl. Based Syst..

Intelligent Tuning of a Dynamic Business Simulation Environment

Gilbert Owusu, Siddhartha Shakya, John A. W. McCall, 2011, SGAI Conf..

A genetic type-2 fuzzy logic based approach for the optimal allocation of mobile field engineers to their working areas

Hani Hagras, Gilbert Owusu, Siddhartha Shakya, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Using a Markov network model in a univariate EDA: an empirical cost-benefit analysis

Siddhartha Shakya, John A. W. McCall, Deryck Forsyth Brown, 2005, GECCO '05.

A genetic interval type-2 fuzzy logic based approach for operational resource planning

Hani Hagras, Gilbert Owusu, Siddhartha Shakya, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A cloud computing based many objective type-2 fuzzy logic system for mobile field workforce area optimization

Hani Hagras, Gilbert Owusu, Siddhartha Shakya, 2016, Memetic Comput..

A type2 Fuzzy Logic System for workforce management in the telecommunications domain

Hani Hagras, Gilbert Owusu, Siddhartha Shakya, 2012, 2012 IEEE International Conference on Fuzzy Systems.

Investigating binary EAs for Passive In-Building Distributed Antenna Systems

Siddhartha Shakya, Andrei Sleptchenko, Kin Fai Poon, 2021, 2021 IEEE Congress on Evolutionary Computation (CEC).

Evolving Large Scale Prediction Models for Vehicle Volume Forecasting in Service Stations

Gilbert Owusu, Siddhartha Shakya, Himadri Sikhar Khargharia, 2021, SGAI Conf..

AI Based 5G RAN Planning

Siddhartha Shakya, Himadri Sikhar Khargharia, Ashraf Roushdy, 2021, 2021 International Symposium on Networks, Computers and Communications (ISNCC).

Integrated resource planning for diverse workforces

Gilbert Owusu, Siddhartha Shakya, Mathias Kern, 2009, 2009 International Conference on Computers & Industrial Engineering.