A key challenge for the new generation of 8m class facilities will be ensuring that the best observing conditions are fully exploited to carry out unique science | science that can only be accomplished when these conditions obtain. Flexible scheduling is one approach to this problem: by scheduling a mix of observations from a pool of available observing programs, it is possible to select best m...

This paper presents a hybrid particle swarm optimization based genetic algorithm and hybrid particle swarm optimization based evolutionary programming for solving long-term generation maintenance scheduling problem. In power system, maintenance scheduling is being done upon the technical requirements of power plants and preserving the grid reliability. The objective function is to sell electric...

In this work, we study the problem of determining the minimum scheduling length that can satisfy end-to-end (ETE) traffic demand in scheduling-based multihop WSNs with cooperative multiple-input multiple-output (MIMO) transmission scheme. Specifically, we present a cross-layer formulation for the joint routing, scheduling and stream control problem by incorporating various power and rate adapta...

In this paper, we investigated the scheduling issue of the vessel’s uploading data to the infostations through the maritime communication network, to optimize the dispatching process by Dynamic Programming. We mapped it as a single-machine minimized total weighted tardiness scheduling problem, subjecting to intermittent network connections in communication, packet generation and due time limita...

In real-time environments, information is disseminated to clients under timing constraints. In this paper, we focus on the real time data scheduling problem in multiple broadcast channels environments, where the clients are equipped with multiple receivers. Each request is associated with a deadline. The clients can either retrieve data items from the broadcast channels or send requests to the ...

Generation scheduling is a most important task in the operation and planning of power system. It can be on real term, short term, medium term, and long term basis as per the scheduled horizon. Scheduling of purely hydroelectric system differ from the thermal scheduling and hydrothermal scheduling problems in two aspects firstly fuel cost for the thermal part of the system can no longer be used ...

Smart home energy management systems help the distribution grid operate more efficiently and reliably, enable effective penetration of distributed renewable sources. These rely on robust forecasting, optimization, control/scheduling algorithms that can handle uncertain nature demand generation. This paper proposes an advanced ML algorithm, called Recurrent Trend Predictive Neural Network based ...