Meta-Heuristic Structure for Multiobjective Optimization Case Study

2014 ◽  
pp. 38-58
Author(s):  
T. Ganesan ◽  
I. Elamvazuthi ◽  
K. Z. KuShaari ◽  
P. Vasant
Keyword(s):  
Performance Metrics ◽  
Heuristic Algorithms ◽  
Weighted Sum ◽  
Optimal Solutions ◽  
Green Sand ◽  
Weighted Sum Method ◽  
Real World Problem ◽  
Green Sand Mould System

In engineering optimization, one often encounters scenarios that are multiobjective (MO) where each of the objectives covers different aspects of the problem. It is hence critical for the engineer to have multiple solution choices before selecting of the best solution. In this chapter, an approach that merges meta-heuristic algorithms with the weighted sum method is introduced. Analysis on the solution set produced by these algorithms is carried out using performance metrics. By these procedures, a novel chaos-based metaheuristic algorithm, the Chaotic Particle Swarm (Ch-PSO) is developed. This method is then used generate highly diverse and optimal solutions to the green sand mould system which is a real-world problem. Some comparative analyses are then carried out with the algorithms developed and employed in this work. Analysis on the performance as well as the quality of the solutions produced by the algorithms is presented in this chapter.

Allocating nodes to hubs for minimizing the hubs processing resources: A case study

2019 ◽  
Vol 53 (3) ◽  
pp. 807-827
Author(s):  
Ali Balma ◽  
Mehdi Mrad
Keyword(s):  
Telecommunication Network ◽  
Real Life ◽  
Optimal Solutions ◽  
Total Flow ◽  
Nonlinear Formulation ◽  
Large Size ◽  
Processing Resources ◽  
Reformulation Linearization

This paper addresses the problem of allocating the terminal nodes to the hub nodes in a telecommunication network. Since the flow processing induces some undesirable delay, the objective is to minimize the total flow processed by the hubs. This study focuses on a real life network of the tunisian operator Tunisie Telecom whose operations managers are concerned by the quality of service. We provide three compact formulations that give optimal solutions for networks of large size. In particular, the last two are obtained by applying the Reformulation-Linearization Technique to a nonlinear formulation of the problem. The latter formulation derived within this approach is the most computationally effective, as pointed out by the computational experiments conducted on the real life network of Tunisie Telecom with 110 nodes and 5 hubs. Finally, we discuss and compare between the single allocation and double allocation configurations.

Multiobjective Optimization of Bioethanol Production via Hydrolysis Using Hopfield-Enhanced Differential Evolution

2014 ◽  
pp. 340-359 ◽  
Author(s):  
T. Ganesan ◽  
I. Elamvazuthi ◽  
K. Z. K. Shaari ◽  
P. Vasant
Keyword(s):  
Differential Evolution ◽  
Multiple Solutions ◽  
Heuristic Algorithms ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Pareto Frontier ◽  
Weighted Sum ◽  
Bioethanol Production ◽  
Hypervolume Indicator

Many industrial problems in process optimization are Multi-Objective (MO), where each of the objectives represents different facets of the issue. Thus, having in hand multiple solutions prior to selecting the best solution is a seminal advantage. In this chapter, the weighted sum scalarization approach is used in conjunction with three meta-heuristic algorithms: Differential Evolution (DE), Hopfield-Enhanced Differential Evolution (HEDE), and Gravitational Search Algorithm (GSA). These methods are then employed to trace the approximate Pareto frontier to the bioethanol production problem. The Hypervolume Indicator (HVI) is applied to gauge the capabilities of each algorithm in approximating the Pareto frontier. Some comparative studies are then carried out with the algorithms developed in this chapter. Analysis on the performance as well as the quality of the solutions obtained by these algorithms is shown here.

Reverse Modeling of Green Sand Mould System Using Fuzzy Logic-Based Approaches

2012 ◽  
Vol 12 (1) ◽  
pp. 1-16
Author(s):  
B. Surekha ◽  
Pandu R. Vundavilli ◽  
M. B. Parappagoudar
Keyword(s):  
Fuzzy Logic ◽  
Real Time Control ◽  
Green Sand ◽  
Time Control ◽  
System A ◽  
Sand Mould ◽  
Input Variables ◽  
Green Sand Mould System ◽  
Reverse Mapping

AbstractIn the present study, reverse mapping problems of green sand mould system have been solved using Fuzzy Logic (FL)-based approaches. It is a complicated process, in which the quality of the castings is influenced by the mould properties (that is, green compression strength, permeability, hardness and others). In forward modeling, the outputs are expressed as the functions of input variables, whereas in reverse modeling, the later are represented as the functions of the former. The main advantage of reverse modeling lies in the fact that it helps in effective real-time control of the process. This paper proposes three different FL-based approaches for the reverse modeling of the green sand mould system. A binary-coded Genetic Algorithm (GA) has been used to optimize the knowledge base of the FL-based approaches, off-line. The developed approaches are found to solve the above problem effectively, and the performances of the developed approaches are compared among themselves. It has been observed that the approach “Automatic design of FL system using GA” yielded much better results in predicting a set of input variables from the set of known set of output.

Comparison of Two Random Weight Generators for Multi-Objective Optimization

2016 ◽  
pp. 222-237
Author(s):  
Victor M. Carrillo ◽  
German Almanza
Keyword(s):  
Decision Maker ◽  
Optimal Solution ◽  
Multiple Objective ◽  
Heuristic Methods ◽  
Weighted Sum ◽  
Pareto Optimal Solutions ◽  
Optimal Solutions ◽  
Mathematical Methods ◽  
Weighted Sum Method ◽  
Random Weight

There exist two general approaches to solve multiple objective problems. The first approach belongs to the classical mathematical methods: The weighted sum method, goal programming, or utility functions methods pertain to this approach. The output of mathematical methods is a single optimal solution. In the second approach are the heuristic methods, like the multiple objective evolutionary algorithms that offer the decision maker a set of optimal solutions usually called non- dominated or, Pareto-optimal solutions. This set is usually very large and the decision maker faces the problem of reducing the size of this set to a manageable number of solutions to analyze. In this paper the second approach is used to reduce the Pareto front using two weights generator for the non-numerical ranking preferences method and their performance is compared.

scholarly journals Routing Flow-Shop with Buffers and Ready Times – Comparison of Selected Solution Algorithms

2014 ◽  
Vol 5 (4) ◽  
pp. 26-35
Author(s):  
Jerzy Józefczyk ◽  
Michał Markowski ◽  
Ljazat Balgabaeva
Keyword(s):  
Manufacturing Systems ◽  
Heuristic Algorithms ◽  
Flow Shop ◽  
Simulation Experiments ◽  
Heuristic Solution ◽  
Software Products ◽  
Solution Algorithms ◽  
Flow Shop Problem

Abstract This article extends the former results concerning the routing flow-shop problem to minimize the makespan on the case with buffers, non-zero ready times and different speeds of machines. The corresponding combinatorial optimization problem is formulated. The exact as well as four heuristic solution algorithms are presented. The branch and bound approach is applied for the former one. The heuristic algorithms employ known constructive idea proposed for the former version of the problem as well as the Tabu Search metaheuristics. Moreover, the improvement procedure is proposed to enhance the quality of both heuristic algorithms. The conducted simulation experiments allow evaluating all algorithms. Firstly, the heuristic algorithms are compared with the exact one for small instances of the problem in terms of the criterion and execution times. Then, for larger instances, the heuristic algorithms are mutually compared. The case study regarding the maintenance of software products, given in the final part of the paper, illustrates the possibility to apply the results for real-world manufacturing systems.

Quality Improvement of the Product Development Process Using Performance Metrics

1992 ◽  
Author(s):  
Timothy L. Johnson ◽  
Kevin J. Dooley
Keyword(s):  
Product Development ◽  
Development Process ◽  
Performance Metrics ◽  
Product Development Process ◽  
Timely Manner ◽  
Organizational Issues ◽  
Technological Growth ◽  
Short Time

Abstract As the international marketplace has opened up, companies are finding that both their competition and customer bases have expanded greatly. In addition, the rate of technological growth continues to accelerate, leaving many products out-dated in a relatively short time. Companies must meet both of these challenges in order to remain competitive. This requires an efficient product development process, one that is flexible and able to meet its customers’ diverse requirements in a timely manner. This paper examines product development and, in particular, looks at the use of metrics in evaluation, control, and improvement of the product development process. Specifically, it is shown how metrics can be used to evaluate the progress, performance, and quality of development activities. Issues involving data collection are described, and the paper concludes with a discussion of organizational issues and a case study.

Misophonia: An Evidence-Based Case Report

2020 ◽  
Vol 29 (4) ◽  
pp. 685-690
Author(s):  
C. S. Vanaja ◽  
Miriam Soni Abigail
Keyword(s):  
Quality Of Life ◽  
Case Report ◽  
Case History ◽  
Pure Tone ◽  
Physiological Responses ◽  
Evidence Based ◽  
Management Option ◽  
Pure Tone Audiogram

Purpose Misophonia is a sound tolerance disorder condition in certain sounds that trigger intense emotional or physiological responses. While some persons may experience misophonia, a few patients suffer from misophonia. However, there is a dearth of literature on audiological assessment and management of persons with misophonia. The purpose of this report is to discuss the assessment of misophonia and highlight the management option that helped a patient with misophonia. Method A case study of a 26-year-old woman with the complaint of decreased tolerance to specific sounds affecting quality of life is reported. Audiological assessment differentiated misophonia from hyperacusis. Management included retraining counseling as well as desensitization and habituation therapy based on the principles described by P. J. Jastreboff and Jastreboff (2014). A misophonia questionnaire was administered at regular intervals to monitor the effectiveness of therapy. Results A detailed case history and audiological evaluations including pure-tone audiogram and Johnson Hyperacusis Index revealed the presence of misophonia. The patient benefitted from intervention, and the scores of the misophonia questionnaire indicated a decrease in the severity of the problem. Conclusions It is important to differentially diagnose misophonia and hyperacusis in persons with sound tolerance disorders. Retraining counseling as well as desensitization and habituation therapy can help patients who suffer from misophonia.

Chronic Refractory Cough: A Case Study

2017 ◽  
Vol 2 (3) ◽  
pp. 57-62
Author(s):  
Anna Maria Siciliano
Keyword(s):  
Quality Of Life ◽  
Adult Female ◽  
Chronic Cough ◽  
Treatment Regime ◽  
Speech Language Pathology ◽  
Old Adult ◽  
Language Pathology

This paper presents a successful behavioral case study in treatment of chronic refractory cough in a 60-year-old adult female. The efficacy for speech-language pathology treating chronic cough is discussed along with description of treatment regime. Discussion focuses on therapy approaches used and the patient's report of changes in quality of life and frequency, duration, and severity reduction of her cough after treatment.

Sign in / Sign up

Export Citation Format

Share Document