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Transfer Learning-Based Dynamic Multiobjective Optimization Algorithms

IEEE transactions on evolutionary computation, 2018-08, Vol.22 (4), p.501-514

2018

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Multi-Resource List Scheduling of Moldable Parallel Jobs under Precedence Constraints

50th International Conference on Parallel Processing, 2021, p.1-10

2021

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A Multi-Facet Survey on Memetic Computation

IEEE transactions on evolutionary computation, 2011-10, Vol.15 (5), p.591-607

2011

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Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction

IEEE transaction on neural networks and learning systems, 2019-02, Vol.30 (2), p.601-614

2019

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A deterministic algorithm for the MST problem in constant rounds of congested clique

Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021, p.1154-1165

Nowicki, Krzysztof

2021

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Towards High-Efficiency Data Centers via Job-Aware Network Scheduling

Proceedings of the 49th International Conference on Parallel Processing, 2020, p.1-10

2020

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Parallel approximate undirected shortest paths via low hop emulators

Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, 2020, p.322-335

2020

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The application of simio scheduling in industry 4.0

Proceedings of the Winter Simulation Conference, 2019, p.3793-3801

2019

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On the consequences of un-modeled dynamics to the optimality of schedules in clustered photolithography tools

Proceedings of the Winter Simulation Conference, 2019, p.2224-2235

2019

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Nested-simulation-based approach for real-time dispatching in job shops

Proceedings of the Winter Simulation Conference, 2019, p.2099-2107

2019

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A Unified Evolutionary Optimization Procedure for Single, Multiple, and Many Objectives

IEEE transactions on evolutionary computation, 2016-06, Vol.20 (3), p.358-369

2016

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Differential Evolution: A Survey of the State-of-the-Art

IEEE transactions on evolutionary computation, 2011-02, Vol.15 (1), p.4-31

2011

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A Deterministic Algorithm for Balanced Cut with Applications to Dynamic Connectivity, Flows, and Beyond

2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS), 2020, p.1158-1167

2020

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A Novel Particle Swarm Optimization Approach for Patient Clustering From Emergency Departments

IEEE transactions on evolutionary computation, 2019-08, Vol.23 (4), p.632-644

2019

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A Survey on Deep Learning: Algorithms, Techniques, and Applications

ACM computing surveys, 2019-09, Vol.51 (5), p.1-36, Article 92

2019

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Dynamic Service Placement for Mobile Micro-Clouds with Predicted Future Costs

IEEE transactions on parallel and distributed systems, 2017-04, Vol.28 (4), p.1002-1016

2017

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Stochastic bandits robust to adversarial corruptions

Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing, 2018, p.114-122

2018

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IGD Indicator-Based Evolutionary Algorithm for Many-Objective Optimization Problems

IEEE transactions on evolutionary computation, 2019-04, Vol.23 (2), p.173-187

2019

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Constant factor approximations to edit distance on far input pairs in nearly linear time

Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, 2020, p.699-712

2020

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A Niching Regression Adaptive Memetic Algorithm for Multimodal Optimization of the Euclidean Traveling Salesman Problem

IEEE transactions on evolutionary computation, 2023-10, Vol.27 (5), p.1-1

2023

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Preemptive Uniprocessor Scheduling of Mixed-Criticality Sporadic Task Systems

Journal of the ACM, 2015-05, Vol.62 (2), p.1-33, Article 14

2015

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A Parallel Multiclassification Algorithm for Big Data Using an Extreme Learning Machine

IEEE transaction on neural networks and learning systems, 2018-06, Vol.29 (6), p.2337-2351

2018

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Parallel Graph Partitioning for Complex Networks

IEEE transactions on parallel and distributed systems, 2017-09, Vol.28 (9), p.2625-2638

2017

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An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach

IEEE transactions on evolutionary computation, 2014-08, Vol.18 (4), p.602-622

2014

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A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization

IEEE transactions on evolutionary computation, 2019-04, Vol.23 (2), p.331-345

2019

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Transfer Learning-Based Dynamic Multiobjective Optimization Algorithms

Multi-Resource List Scheduling of Moldable Parallel Jobs under Precedence Constraints

A Multi-Facet Survey on Memetic Computation

Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction

A deterministic algorithm for the MST problem in constant rounds of congested clique

Towards High-Efficiency Data Centers via Job-Aware Network Scheduling

Parallel approximate undirected shortest paths via low hop emulators

The application of simio scheduling in industry 4.0

On the consequences of un-modeled dynamics to the optimality of schedules in clustered photolithography tools

Nested-simulation-based approach for real-time dispatching in job shops

A Unified Evolutionary Optimization Procedure for Single, Multiple, and Many Objectives

Differential Evolution: A Survey of the State-of-the-Art

A Deterministic Algorithm for Balanced Cut with Applications to Dynamic Connectivity, Flows, and Beyond

A Novel Particle Swarm Optimization Approach for Patient Clustering From Emergency Departments

A Survey on Deep Learning: Algorithms, Techniques, and Applications

Dynamic Service Placement for Mobile Micro-Clouds with Predicted Future Costs

Stochastic bandits robust to adversarial corruptions

IGD Indicator-Based Evolutionary Algorithm for Many-Objective Optimization Problems

Constant factor approximations to edit distance on far input pairs in nearly linear time

A Niching Regression Adaptive Memetic Algorithm for Multimodal Optimization of the Euclidean Traveling Salesman Problem

Preemptive Uniprocessor Scheduling of Mixed-Criticality Sporadic Task Systems

A Parallel Multiclassification Algorithm for Big Data Using an Extreme Learning Machine

Parallel Graph Partitioning for Complex Networks

An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach

A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization

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