Boolean Models and Methods in Mathematics, Computer Science, and Engineering: Optimization Methods in Logic Constrained optimization problems are very important as they are encountered in many engineering applications. Equality constraints in them are challenging... J Hooker 被引量: 20发表: 2010年 ...
Optimization and Engineering promotes the advancement of optimization methods and the innovative application of optimization in engineering. It provides a forum where engineering researchers can obtain information about relevant new developments in optimization, and researchers in mathematical optimization can ...
The chapters are self-contained with basic concepts and formulations along with applications and examples. The book will be useful to researchers in engineering and mathematics, in particular those who employ computationally heavy simulations in their design work....
Optimization models are designed to help organizations and individuals make informed decisions by maximizing or minimizing an objective function while adhering to specific constraints. Objective functions are the mathematical expressions that define what you want to maximize (e.g., profit, revenue, efficie...
"Best" in business is quite different. It means to maximize profit or minimize loss. The economist or accountant also has models. Note the obvious disconnect between the objectives of engineering and business models. This disconnect has hindered us from finding a practical best to improve profit ...
(AOA), is proposed in this paper. This algorithm simulates the foraging process of aphids with wings, including the generation of winged aphids, flight mood, and attack mood. Concurrently, the corresponding optimization models are presented according to the above phases. At the phase of the ...
In this research, new optimization models are developed to determine the optimal preventive maintenance and replacement schedules in repairable and maintai... KS Moghaddam,JS Usher - 《Computers & Industrial Engineering》 被引量: 66发表: 2011年 The case for repeatable analysis with energy economy op...
Indeed, all these approaches solve the problem of increasing the accuracy in neural networks, but these approaches are not generalized for all models. Thus, there exist universal methods that improve neural network training. One such is the optimization of the loss function. The main problem in ...
(WOA)36, Harris Hawk Algorithm (HHO)38, Gray Wolf Optimization Algorithm (GWO)39, Archimedes Algorithm (AOA)40, Equilibrium Optimizer (EO)41 and Differential Evolution (DE)42); (3) the experiment for solving three real engineering problems (welded beam design43, pressure vessel design44, and...
By integrating chassis transmission system with dynamic engine system,an on-site testing method is proposed for engines of concrete pump trucks in terms of generalized model.In particular,this method is dependent on o-site loading using truck hydraulic system without removing the engine from chassis....