Numerical optimization has been ubiquitous in antenna design for over a decade or so. It is indispensable in handling of multiple geometry/material parameters, performance goals, and constraints. It is also cha
However, they still face some inherent challenges, such as convergence speed, optimization precision, the ability to escape local convergence, and the need for further enhancement in solving engineering design problems, as well as their overall applicability. Therefore, to address the issues of slow ...
Notes on the Dimension of the Solution Space in Typical Electrical Engineering Optimization Problemsdoi:10.14483/23448393.19310ELECTRICAL engineeringGREENHOUSE gasesCOMPUTER engineeringSCIENTIFIC literatureCAPACITOR banksELECTRICAL loadMontoya, Oscar DaniloIngeniería (0121-750X)...
Many engineering design problems can be formulated as an optimization problem:(1)min:J(x)(2)s.t.:g(x)≤0(3)h(x)=0where J is the objective function that denotes the expected performance of the design, x is the design variable vector, and g and h are constraints that pose specific ...
There are different operators to choose from and a workflow can be created via a simple drag-and-drop functionality that is provided by the GUI. Some of the tasks performed by the operators are for instance: to load the optimization problem, initialize a population of solutions, run an ...
It contains many worked examples in fields such as engineering, computer science, mathematics, statistics, finance, and economics. Global Optimization Algorithms - Theory and Application This book is devoted to global optimization algorithms, which are methods to find optimal solutions for given ...
The platform integrates intelligent optimization algorithms, deep reasoning analysis, visualization debugging tools, and community sharing features, providing comprehensive prompt optimization solutions for AI application developers and content creators.🎯 Core ValuesIntelligent Optimization: Automatically analyze ...
solutions. The proposed MOCGO is tested on a wide variety of problems, both constrained and unconstrained, from the fields of mathematics and industrial engineering optimization. The results of a series of comparisons between the proposed MOCGO method and other state-of-the-art multi-objective ...
40 proposed a hybrid grey wolf-bat optimizer (HGB), in which GWO is used to explore the search space individually and pass the best two solutions to HGB to guide its local Search, then HGB digs deep and finds the best solution. To sum up, researchers have different findings on the ...
Soil moisture wireless sensor networks (SMWSNs) are used in the field of information monitoring for precision farm irrigation, which monitors the soil moisture content and changes during crop growth and development through sensor nodes at the end. The co