Classical and Modern Optimization

10.1142/q0314 ◽  
2021 ◽  
Keyword(s):  
Modern Optimization

Multicriterial Optimization of Technical Systems Considering Multiple Load and Availability Scenarios

2015 ◽  
Vol 807 ◽  
pp. 247-256 ◽  
Author(s):  
Lena C. Altherr ◽  
Thorsten Ederer ◽  
Philipp Pöttgen ◽  
Ulf Lorenz ◽  
Peter F. Pelz
Keyword(s):  
System Design ◽  
Cost Effective ◽  
Optimization Methods ◽  
Technical System ◽  
Multicriterial Optimization ◽  
Fluid Systems ◽  
Rule Number ◽  
Technical Systems ◽  
Multiple Load ◽  
Modern Optimization

Cheap does not imply cost-effective -- this is rule number one of zeitgeisty system design. The initial investment accounts only for a small portion of the lifecycle costs of a technical system. In fluid systems, about ninety percent of the total costs are caused by other factors like power consumption and maintenance. With modern optimization methods, it is already possible to plan an optimal technical system considering multiple objectives. In this paper, we focus on an often neglected contribution to the lifecycle costs: downtime costs due to spontaneous failures. Consequently, availability becomes an issue.

scholarly journals The ideological and theoretical genesis of ontognoseology in the concept of “polemical marxism”

2020 ◽  
Vol 19 (7-8) ◽  
pp. 15-21
Author(s):  
Alexander N. Ognev
Keyword(s):  
Marxist Theory ◽  
Theoretical Foundations ◽  
Modern Optimization

The article discusses the ideological and theoretical genesis of the ontogeneological concept of the Soviet marxist philosopher M.A. Lifshits. The connection between polemical marxism and the key moments of the development of marxist theory is shown and systemic differences from other editions of marxist doctrine are revealed. The authors made an analysis of the main theoretical foundations of the M.A. Lifshitss ontognoseology and outlined the direction of its problem potential modern optimization.

scholarly journals Preliminary Sailplane Design Using MDO And Multi-Fidelity Analysis

2021 ◽  
Author(s):  
Chris V. Pilcher
Keyword(s):  
Multidisciplinary Design Optimization ◽  
High Performance ◽  
Vortex Lattice ◽  
Optimization Techniques ◽  
Multidisciplinary Design ◽  
Preliminary Design ◽  
Adaptive Meshing ◽  
Analysis Methods ◽  
And Performance ◽  
Modern Optimization

A multidisciplinary design optimization (MDO) strategy for the preliminary design of a sailplane has been developed. The proposed approach applies MDO techniques and multi-fidelity analysis methods which have seen successful use in many aerospace design applications. A customized genetic algorithm (GA) was developed to control the sailplane optimization that included aerodynamics/stability, structures/weights and balance and, performance/airworthiness disciplinary analysis modules. An adaptive meshing routine was developed to allow for accurate modeling of the aero structural couplinginvolved in wing design, which included a finite element method (FEM) structural solver along with a vortex lattice aerodynamics solver. Empirical equations were used to evaluate basic sailplane performance and airworthiness requirements. This research yielded an optimum design that correlated well with an existing high performance sailplane. The results of this thesis suggest that preliminary sailplane design is a well suited application for modern optimization techniques when coupled with, multi-fidelity analysis methods.

Analytical Review on the Modern Optimization Algorithms in Logistics

2020 ◽  
Vol 14 (1) ◽  
pp. 25-31
Author(s):  
Mohammad Zaher Akkad ◽  
Tamás Bányai
Keyword(s):  
Content Analysis ◽  
Optimization Algorithms ◽  
Hybrid Algorithms ◽  
Metaheuristic Algorithms ◽  
Complex Problems ◽  
Analytical Review ◽  
Optimum Solution ◽  
Short Time ◽  
Modern Optimization

Optimization algorithms are used to reach the optimum solution from a set of available alternatives within a short time relatively. With having complex problems in the logistics area, the optimization algorithms evolved from traditional mathematical approaches to modern ones that use heuristic and metaheuristic approaches. Within this paper, the authors present an analytical review that includes illustrative and content analysis for the used modern algorithms in the logistics area. The analysis shows accelerated progress in using the heuristic/metaheuristic algorithms for logistics applications. It also shows the strong presence of hybrid algorithms that use heuristic and metaheuristic approaches. Those hybrid algorithms are providing very efficient results.

The Application of Genetic Algorithms to the Evaluation of Software Reliability

2010 ◽  
pp. 29-49
Author(s):  
Angel Fernando Kuri-Morales
Keyword(s):  
Genetic Algorithms ◽  
Software Reliability ◽  
Optimization Techniques ◽  
Software System ◽  
Adequate Measure ◽  
Practical Tool ◽  
Definition Of ◽  
Modern Optimization ◽  
The Way

The evaluation of software reliability depends on a) The definition of an adequate measure of correctness and b) A practical tool that allows such measurement. Once the proper metric has been defined it is needed to estimate whether a given software system reaches its optimum value or how far away this software is from it. Typically, the choice of a given metric is limited by the ability to optimize it: mathematical considerations traditionally curtail such choice. However, modern optimization techniques (such as Genetic Algorithms [GAs]) do not exhibit the limitations of classical methods and, therefore, do not limit such choice. In this work the authors describe GAs, the typical limitations for measurement of software reliability (MSR) and the way GAs may help to overcome them.

scholarly journals The K-server problem via a modern optimization lens

2019 ◽  
Vol 276 (1) ◽  
pp. 65-78 ◽  
Author(s):  
Dimitris Bertsimas ◽  
Patrick Jaillet ◽  
Nikita Korolko
Keyword(s):  
Server Problem ◽  
Modern Optimization
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