Titlebook: Recent Advances in Computational Optimization; Results of the Works Stefka Fidanova Book 2016 Springer International Publishing Switzerland

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Synthesis of Power Aware Adaptive Embedded Software Using Developmental Genetic Programming, of the recently finished task occurred shorter or longer than expected. The goal of rescheduling is to minimize the power consumption while all time constraints will be satisfied. We present real-life example as well as some experimental results showing advantages of our method.

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Genetic Algorithms for Constrained Tree Problems,constant . times the minimum tree weight in .. It is easy to conclude from the literatures that the above problems are NP-hard. This chapter presents efficient genetic algorithms that return (as shown by our experimental results) high quality solutions for those two problems.

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Fast Output-Sensitive Approach for Minimum Convex Hulls Formation,is method are achieved by means of the input vertices distribution into the set of homogenous units and their filtration. The proposed algorithm uses special auxiliary matrices to control the process of computation. Algorithm has a property of the massive parallelism, since the calculations for the

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,Optimization of Fuel Consumption in Firefighting Water Capsule Flights of a Helicopter,attibutes of flight e.g. the mass of the capsule, velocity, altitude, aerodynamic coefficients of the capsule, and horizontal and vertical winds. The presented method is focused on mentioned attributes. The problem is very important because helicopters are used in real hughe fire and it will be quit

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Synthesis of Power Aware Adaptive Embedded Software Using Developmental Genetic Programming,ied as a task graph, which should be scheduled on multi-core embedded processor with low-power processing capabilities. First, the developmental genetic programming is used to generate the scheduler and the initial schedule. The scheduler and the initial schedule are optimized taking into considerat