The capabilities of MSGP are illustrated by applying it to the formulation of different complex engineering problems.
Backtracking Search Optimization Algorithm (BSA) is a newly proposed Evolutionary Algorithm (EA) and has been applied to optimize different complex optimization problems in science and engineering.
Using different and more complex problems dealing with the interpretation of chemical formulae, we studied the Brain Mapping Hypothesis' robustness towards a different domain, multidimensional strategy spaces, and modeling errors.
Despite the preference for simple solutions to complex problems, different strategies for different types of landscape mosaics should be developed for the pursuit of those goals.
Research institutions are experiencing a surge of innovative interdisciplinary initiatives aimed at bringing together students, postdocs, and faculty from different departments to solve complex problems in ways that they have never tried before.
Artificial neural networks (ANNs) have been successfully applied in different fields to address complex problems.
As individuals differ with regard to their potentials, habits and preferences, they differ in their approach to complex problems, and the degree to which they employ different cognitive domains in solving a complex problem.
Optimization techniques have got much attention for solving complex problems related to different fields.
The special features exhibited by neural network classifiers make them suitable for handling complex problems like analyzing different properties of candidate compounds in computer-aided drug design.
Thus, the patient, with many complex problems and a different style of help-seeking, is confronted with a negative and pessimistic attitude of the professional, resulting in a low dosage of help that aims for management, not recovery.
