Multicriteria Evolutionary Algorithm with Tabu Search for Task Assignment

Balicki, Jerzy; Kitowski, Zygmunt

doi:10.1007/3-540-44719-9_26

Cited by 14 publications

(5 citation statements)

References 14 publications

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“…This Pareto front approximation is determined for each workload trace separately and is based on our seven basic objective functions: UTIL, AWRT, and AWRT 1 to AWRT 5 . Similar approaches for fewer dimensions were already presented by Balicki and Kitowski (2001). Although the generation of an approximate Pareto front is not subject of this paper, two restrictions must be noted:…”

Section: Discussionmentioning

confidence: 86%

Greedy scheduling with custom-made objectives

2008

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We present a methodology to automatically generate an online job scheduling method for a custom-made objective and real workloads. The scheduling problem comprises independent parallel jobs and parallel identical machines and occurs in Massively Parallel Processing systems and computational Grids. The system administrator defines the scheduling objective that may consider job properties and priorities of users or user groups. Our scheduling method combines a Greedy scheduling algorithm with the dynamic sorting of the waiting queue. This sorting algorithm uses a criterion that is modifiable by a set of parameters. Finding good parameter settings for the sorting criterion is viewed as a nonlinear optimization problem which is solved with the help of Evolution Strategies. We evaluate our scheduling method with real workload data and compare it to approximated optimal offline solutions and to the online results of the standard EASY backfill algorithm.

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Section: Discussionmentioning

confidence: 86%

Greedy scheduling with custom-made objectives

2008

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“…Social media can be used to better understanding citizens by an identification some expectations of them. Moreover, social media can integrate several IT systems as well as real urban systems to share data with millions of citizens [9]. Balance between quality of many different systems is important.…”

Section: City Tasks In Social Mediamentioning

confidence: 99%

Social media and efficient computer infrastructure in smart city

et al. 2018

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Social media require an efficient infrastructures of computer and communication systems to support a smart city. In a big city, there are several crucial dilemmas with a home and public space planning, a growing population, a global warming, carbon emissions, a lack of key resources like water and energy, and a traffic congestion. In a smart city, we expect an efficient and sustainable transportation, efficient management of resources and a better urban planning. In this paper, social media are proposed to support smart city with efficient computer infrastructure. Moreover, some methods are described to increase the availability and efficiency of an information infrastructure. Two criteria have been formulated to assign some key resources in a smart city system. The process of finding some compromise solutions from Pareto-optimal solutions has been illustrated. Metaheuristics of collective intelligence, including particle swarm optimization PSO, ant colony optimization ACO, an algorithm of bee colony ABC, and differential evolution DE have been described due to smart city infrastructure improving. Other application of above metaheuristics in smart city have been also presented.

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“…Acquired knowledge is crucial for effective solving problems, and supports wider consideration of the needs of residents. It is assumed that security, welfare, and cohesion must result from different cultures, and use advanced technologies [7].…”

Section: The Role Of E-learning In a Sma Citymentioning

confidence: 99%

Social media for e-learning of citizens in smart city

et al. 2018

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The rapid development of social media can be applied for citizens' e-learning in a smart city. Big cities have to cope with several open issues like a growing population or a traffic congestion. Especially, a home and public space is supposed to be used in more efficient way. Sustainable homes and buildings can be planned with using some modern techniques. Even currently, there is a huge problem with a lack of key resources like water and energy. So, an efficient management of resources is strongly required. What is more, a global warming and carbon emissions are considered as some critical factors for living conditions in many cities, too. A vision of a smart city is related to a better protection of a natural environment and a more efficient use of it. Moreover, citizens expect an efficient and sustainable transportation in livable city. To present some solutions on above issues, this paper outlines the methodology of using social media to provide necessary knowledge by citizenship training systems. In particular, some selected e-learning applications have been characterized. They are related to pedagogical agents in e-learning. In addition, some advanced meta-heuristics have been proposed with particular emphasis on genetic programming, artificial neural networks, neuro-evolution algorithms, support vector machines, and some collective intelligence algorithms. Finally, cloud services are discussed regarding a smart city management and training.

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Multicriteria Evolutionary Algorithm with Tabu Search for Task Assignment

Cited by 14 publications

References 14 publications

Greedy scheduling with custom-made objectives

Greedy scheduling with custom-made objectives

Social media and efficient computer infrastructure in smart city

Social media for e-learning of citizens in smart city

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