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E-grāmata: Metaheuristic Optimization Algorithms in Civil Engineering: New Applications

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This book discusses the application of metaheuristic algorithms in a number of important optimization problems in civil engineering. Advances in civil engineering technologies require greater accuracy, efficiency and speed in terms of the analysis and design of the corresponding systems. As such, it is not surprising that novel methods have been developed for the optimal design of real-world systems and models with complex configurations and large numbers of elements. 
  
This book is intended for scientists, engineers and students wishing to explore the potential of newly developed metaheuristics in practical problems. It presents concepts that are not only applicable to civil engineering problems, but can also used for optimizing problems related to mechanical, electrical, and industrial engineering.
 
It is an essential resource for civil, mechanical and electrical engineers who use optimization methods for design, as well as for students and researchers interested in structural optimization.
Introduction.- Optimum stacking sequence design of composite laminates
for maximum buckling load capacity.- Optimum Design of Castellated Beams with
Composite Action and Semi-Rigid Connection.- Optimal Design of Steel Curved
Roof Frames by Enhanced Vibrating Particles System Algorithm.- Geometry and
sizing optimization of steel pitched roof frames.- Two-Stage Optimal Sensor
Placement Using Graph-Theory and Evolutionary Algorithms.- The charged system
search algorithm for adaptive node moving refinement in discrete
least-squares meshless method.- Performance-based multi-objective
optimization of large steel structures.- Optimal Seismic Design of Steel
Plate Shear Walls Using CBO and ECBO Algorithms.- Colliding Bodies
Optimization Algorithm for Structural Optimization of Offshore Wind Turbines
with Frequency Constraints.- Colliding Bodies Optimization for Analysis and
Design of Water Distribution Systems.- Optimization of tower crane location
and material quantity between supply and demand points.- Optimization of
Building Components with SustainabilityAspects in BIM
Environment.- Multi-objective optimization of construction site
layout.- Multi-objective electrical energy scheduling in smart homes using
ant lion optimizer and evidential reasoning