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Quick response to evacuate residents within a short-notice in bushfire situation is vital, which can save lives. This translates to make a decision on selecting shelters, assigning the vehicles, finding the optimal routes, and schedules for evacuation. This study proposes a model as a decision support system that can determine the required vehicles their schedule and routes to evacuate late evacuees...
Uncertainty in connection requests arrivals and departures brings forth inefficient resource allocation of online RWA heuristics for dynamic lightpath provisioning. Thereby, periodic re-optimization can play invaluable role in improving resource utilization of WDM networks. This paper investigates network re-optimization carried in two consequent phases: a) finding new wavelength assignment for a...
In this paper, we study the wireless sensor network deployment for water pollution monitoring in the Amazon rainforest rivers. Our objective consists in minimising the number of deployed geographical field installations along the river, while ensuring the detection of the substance spilled in the given river regardless of the position of its source. A geographical field installation is formed by a...
Load balancing techniques for distributed embedded systems tend to be very parameter-rich, and finding adequate parameters for a given scenario is not trivial. Furthermore, the parameter values that are adequate for one scenario are rarely applicable to another that has, for instance, a different application profile or network topology. In this paper, we present a search-based parameter tuning approach...
This paper provides a new approach to protection of multicast transmissions in optical networks. Namely, we introduce an enhanced version of p-cycles called Multicast Protecting p-Cycle (MPpC) designed to protect multicast flows and propose a new ILP (Integer Linear Program) formulation enabling a joint optimization of working and spare capacity in optical networks protected by MPpCs. In contrast...
This paper presents an Improved Parallel Differential Evolution (IPDE) optimization algorithm based dynamic decomposed strategy to solving large economic dispatch (ED) with consideration of practical generators constraints. The migration operation inspired from Biogeography-based Optimization algorithm (BBO) is newly introduced in the parallel DE approach, thereby can effectively explore and exploit...
Due to the gradual increase of power demand and variation of loads, the modern distribution networks are growing with complexity more and more. Configuration problems in distribution networks are basically large-scaled combinatorial optimization problems and their solution requires a considerable computing effort, because an urban distribution system usually contains numerous power line sections and...
Many search space generation algorithms used by query optimizers focus on efficiently and exhaustively enumerating the set of alternative plans. However, newly emerged systems, such as Object-Relational Mapping (ORM) tools, introduce new challenges to the query optimizer. This is because dynamically generated queries are very complex, relatively inexpensive to execute, and they must be optimized at...
Ant colony algorithm is a bionic optimization algorithm, it can solve combinatorial problems effectively. For the problem of the test suite reduction, this algorithm could find the balance point between the speed and the accuracy of solution. Unlike other existing algorithms, this algorithm used test cost criteria, as well as the test coverage criteria. Finally, the paper presented the results, the...
A new simulation analysis algorithms establishing wireless sensor networks communication path based on ant algorithm was proposed. The local optimization problem Occurred in large-scale sensor nodes is solved. The new algorithm has good scalability and dynamic adaptability and is very effective to determiner multi-node wireless sensor network communication processes. The algorithm is feasible through...
The delay and bandwidth are the two most fundamental factors in the network. In the delay and bandwidth constrained circumstances, we present a problem of maximizing the number of nodes and then prove the problem is NP-complete. Next, we propose a comprehensive evaluation of delay and bandwidth heuristic algorithm. According to the heuristic algorithm, distributed application layer multicast algorithms...
Multi-tier data centers have become a norm for hosting modern Internet applications because they provide a flexible, modular, scalable and high performance environment. However, these benefits come at a price of the economic dent incurred in powering and cooling these large hosting centers. Thus, energy efficiency has become a critical consideration in designing Internet data centers. In this paper,...
Reconfiguration of Radial Electrical Distribution Network (ROREDN) is one vital analysis to optimize and control the electrical distribution system. This paper explained the application and objectives of ROREDN. There are considerable Heuristic Methods (HMs) presented by researcher for ROREDN as optimization approaches. This paper also reviewed some important strategies of HMs. The research represents...
Hyper-heuristics are new approaches which aim at raising the level of abstraction when solving combinatorial optimisation problems. In this paper we introduce a new hyper-heuristic model, namely Ant-Q hyper-heuristic, which transliterates the significant learning ability of Ant-Q algorithm proposed by Gambardella and Dorigo, for building good sequences of low-level heuristics aimed at gradually constructing...
In this paper we will present a new framework for the work flows of distributed integrated systems by assessment of effective factors. This framework which has a higher efficiency compared with other frameworks has been assessed and will be presented within the ERPWKM framework using established phases. The proposed framework compares decision-making processes in various phases and reduces data processing...
The efficient scheduling of independent computational jobs in a heterogeneous computing (HC) environment is an important problem in domains such as grid computing. Finding optimal schedules for such an environment is (in general) an NP-hard problem, and so heuristic approaches must be used. The goal of grid task scheduling is to achieve high system throughput and to allocate various computing resources...
The study aims at Supermarket Distribution Problem, a mathematical model is constructed and an ant colony algorithm with tabu search is put forward. The algorithm is tested in combination with Supermarket Distribution Problem. The experimental results indicated that the algorithm solves Supermarket Distribution Problem effectively with quick convergence, avoids local optimum, high precision solution...
This paper presents a novel approach for image completion using global optimization, which combines with patch sparsity-based priority and dynamic structural label pruning. In our approach, the completion problem is described by discrete Markov Random Field model with a well defined objective function, and can be solved by adopting belief propagation. Two important extensions are proposed in the paper:...
A new heuristic optimization algorithm is proposed in the paper, that is an improved ant colony algorithm for solving continuous space optimization problems. It is used in dynamic parameter aggregation based on frequency domain aggregation. The result from aggregation of generator electromagnetic circuit and excitation system show that an improved ant colony algorithm in aggregation of generator dynamic...
On context of time-of-use electricity price market, this paper mainly proposes a feasible PHEV charging mechanism for peak load management, the grid's peak load regulation model and PHEV terminal cost model are separately established. In accordance with the mechanism, this paper also puts forward an optimization algorithm based on dynamic estimate interpolation concept. At last, an example is simulated...
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