Design of Real-Time Computer-Based Systems Using Developmental Genetic Programming

Deniziak, Stanislaw; Ciopinski, Leszek; Pawiński, Grzegorz

doi:10.1007/978-3-319-20883-1_9

Cited by 1 publication

(1 citation statement)

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“…The self-adaptive supervisor that can maintain the optimality of the system in spite of disruptions that are likely to occur dynamically is developed in [36]. Applications of the DGP in optimization problems of real-time computer-based systems including scheduling of real-time tasks in multiprocessor systems, hardware/software co-design of distributed embedded systems and budget-aware real-time cloud computing may be found in [8].…”

Section: Related Workmentioning

confidence: 99%

Speeding up global optimization with the help of intelligent supervisors

Pawiński

Sapiecha

2016

Appl Intell

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It is shown in the paper that Developmental Genetic Programming is an efficient tool for evolutionary development of intelligent supervisors that solve an extension of Resource-Constrained Project Scheduling Problem. The extension assumes that resources are only partially available. It also assumes that renewable resources affect the project cost. The cost should be as low as possible and a deadline of the project must be met. This is apparent with regard to software houses and building enterprises. Computational experiments showed that supervisors find solutions of the problem much faster than other genetic approaches. A specific property of the supervisor is that it has various strategies of allocating the resources to the tasks. The supervisor uses the strategies in order to develop a procedure for producing the best schedule for the whole project. The analysis of the evolutionary process was performed and experimental results were compared with the optimal ones obtained by means of the exhaustive search method.

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Section: Related Workmentioning

confidence: 99%