Michael Masin

CONTROLLING NETWORK RESOURCE ALLOCATION

States simulator for reinforcement learning models

SYSTEM AND METHOD FOR A RECOMMENDER

AUTOMATED EXPLAINER OF REINFORCEMENT LEARNING ACTIONS USING OCCUPATION MEASURES

Adaptation of deep learning models to resource constrained edge devices

Control system with optimized periodic adjustments of system control settings using MARS-based MILP optimization

Heterogeneous resource reservation

PARETO-EFFICIENT PROBABILISTIC SOLUTIONS

Scheduling workload service operations using value increase scheme

TRAINING A HIDDEN MARKOV MODEL

TIME WINDOW SELECTION FOR VEHICLE ROUTING PROBLEM

Real-time update of a mobile workforce schedule

DECOMPOSITION OF MULTISITE HETEROGENEOUS WORKFORCE SCHEDULING PROBLEMS

Automatic decomposition of simulation model

Simulation of internet of things environment

Method for assigning time windows for Vehicle Routing problem

Reusable modeling for solving problems

ADJUSTABLE ROBUST OPTIMIZATION FOR PROCESS EXECUTION

Automatic solution to a scheduling problem

DEFINING REUSABLE METRICS FOR ARCHITECTURAL OPTIMIZATION

Representing a system using viewpoints

MULTIOBJECTIVE OPTIMIZATION THROUGH USER INTERACTIVE NAVIGATION IN A DESIGN SPACE

ARCHITECTURE OPTIMIZATION

CREATING PLUGGABLE ANALYSIS VIEWPOINTS FOR AN OPTIMIZATION SYSTEM MODEL

Concise modeling and architecture optimization

Host system admission control

LEARNING ADMISSION POLICY FOR OPTIMIZING QUALITY OF SERVICE OF COMPUTING RESOURCES NETWORKS

Automated interactive multi-objective optimization-based system design tool

Scheduling events in a virtualized computing environment based on a cost of updating scheduling times or mapping resources to the event

Resource optimization for real-time task assignment in multi-process environments