• No results found

Adaptive Load Balancing in the Modified Mind Evolutionary Computation Algorithm

N/A
N/A
Protected

Academic year: 2020

Share "Adaptive Load Balancing in the Modified Mind Evolutionary Computation Algorithm"

Copied!
10
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Table 1. Classification of objective functions based on the LA results
Figure 1. Determining a diameter of the first sub–population for the benchmark Composition Function 1 from CEC 14
Table 3. Results of numerical experiments
Figure 4. Iteration number N opt required to find a global optimum for different benchmark functions

References

Related documents

After nearly two years of planning, negotiation and collaboration at local and state levels by Pamela Springer, Ph.D., R.N., Director of the School of Nursing and Pam Strohfus,

These stoichiometric changes were associated with unique environmental factors among ecosystems as tribu- tary stoichiometry was related to terrestrial land use and land cover,

In one part general bio data of students was noted while on the other part outcome variables such as socioeconomic status, parents’ education and their assistance in students’

ORTHOPAEDIC SURGERY FOR THE LOWER LIMBS IN CHILDREN WITH CEREBRAL

With this algorithm, in order to estimate the path of the moving target, image processing have been used and data sent to the control center of the quadrotor to pass this

Therefore, the aim of this study was to investigate the role of readiness for change in the relationship between abusive supervision and innovative self-efficiency of

Libuše Brožová (Institute of Macromolecular Chemistry of the AS CR v.v.i., Czech Rep.) Bart Van der Bruggen (University of Leuven, Belgium, European Membrane Society) Miroslav