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Visual programming and specification languages are a proven means for specifying the structure as well as consistency and optimization properties of topologies.
A time to convergence to the steady state, as an essential indicator of optimization properties of the process, was also analyzed.
Due to the importance of communication networks, a topology control algorithm should guarantee certain required consistency properties (e.g., connectivity of the topology), while achieving desired optimization properties (e.g., a bounded number of neighbors).
More specifically, we model the possible modifications of a topology control algorithm and the environment using graph transformation rules, and we describe consistency and optimization properties using graph constraints.
Because DE is derivative free, it has appealing global optimization properties.
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But since lattice search does not explore any optimization property, it requires a high computational burden.
Third, to improve the global optimization property of DE, a DE approach based on measure of population's diversity is proposed to tuning the crossover rate.
Although there are some MIP problems with efficient optimization property (i.e., they can be solved relatively easier due to their special structures), we are not aware of any previous result on the applicability of such a property in our problem.
To improve the global optimization property of DE, in this paper, a DE approach based on measure of population's diversity and cultural algorithm technique using normative and situational knowledge sources is proposed as alternative method to solving the economic load dispatch problems of thermal generators.
The mathematical analysis of this optimization property is simple, although it does not reckon as do most current studies which focus on this topic, with the assumption of small amplitude stimulations, which allows to work in the framework of linear filter analysis.
Also the influence of the optimization problem properties and algorithmic parameters are investigated.
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