A Novel Design of Optimization Algorithm Based on Optimization Problems and its Application on Real Life Problems — Mustafa Tunay

Optimization Algorithms and Applications present a variety of solution techniques for optimization functions emphasizing concepts rather than rigorous mathematical details The book covers the stochastic method as a solution method for optimization functions It discusses hypercube evaluation as optimization algorithm The author shows how to solve benchmark functions unimodal functions simple multimodal functions hybrid functions and composition functions using the basic of hypercube optimization search algorithm HOS and simple modifications of the basic HOS code The book also introduces a novel method using random perturbation RP into two control parameters to solve a wide variety of optimization functions one of the first optimization book to do so and develops software code for the proposed algorithm In addition it examines neural network models educational institution problems and warehouse assignments The author follows a step by step approach to developing the MATLAB codes from the proposed algorithm The author then applies the codes to solve optimization functions taken from the literature and real world applications including portfolio optimization functions medical data classification problems timetabling problems and storage location assignments over time to sustain a high level of picking access performance stocking products in an optimized the assignment of products to storage locations This hands on approach improves your understanding and confidence in handling different solution methods Chapter 1 Introduction The optimization algorithms and its applications present a variety of solution techniques for optimization functions emphasizing concepts rather than rigorous mathematical details Chapter 2 The Design of Hypercube Optimization Search Algorithm HOS The original algorithm is called hypercube optimization search algorithm HOS to find a better solution for optimization problems The main steps of the algorithm comprise the initialization process the displacement shrink process and the searching areas process All details in the original algorithm have been represented in this chapter Chapter 3 The Design of Improved Hypercube Optimization Search Algorithm Based on Random Perturbation The original algorithm has been renewed by a new module using a random perturbation RP into two control parameters to solve a wide variety of optimization problems in the original search processes A novel RP is defined to improve the control parameters and is constructed of the algorithm All details in the improved algorithm have been represented in this chapter Chapter 4 Test Functions A set of experiments are done in order to test the performance of the original algorithm and the improved algorithm The different benchmark functions that are obtained from different research works for testing the designed algorithm are described Mathematical formulas and test areas of the test functions and their important characteristics are presented The information for standard benchmark functions and definitions of CEC 14 test suite functions are represented in this chapter Chapter 5 Simulation of Test Functions All test functions used in the simulation stage of the HOS algorithm and the improved HOS algorithm are described The performances of both algorithms are evaluated using benchmark functions and test functions CEC 14 on different dimensions and are compared with the performance of several comparative optimizer algorithms using benchmark functions on many different types of dimensions Chapter 6 The Design of the Hypercube Optimization Search Algorithm for Timetabling problems The proposed algorithm is applied to solving a timetabling problem which is very difficult to solve for many institutions of higher education and has resulted in a significant increase in their complexity Chapter 7 Hybrid Hypercube Optimization Search Algorithm and Multilayer Neural Network for Medical Data Classification In medical informatics the classification of medical data is one of the most challenging tasks because of the uncertainty and nature of healthcare data This chapter proposes the use of the HOS algorithm for training multi layer perceptron MLP one of the most extensively used Neural Networks NNs to enhance its efficacy as a decision support tool for medical data classification The proposed HOS MLP model is tested on four significant medical datasets orthopedic patients diabetes coronary heart disease and breast cancer to assess HOS success in training MLP For verification the results are compared with eleven different classifiers and eight well regarded MLP trainer metaheuristic algorithms Chapter 8 Storage Location Assignment Problems Based on Hypercube Evaluation The proposed optimization algorithm for the optimization of storage location assignment problem examines the optimization of warehouse assignments over time to sustain a high level of picking access performance and stocking products in an optimized the assignment of products to storage locations using shelves The aim of the optimization algorithm is to assign products to locations in a way that optimizes and shortens the completion time Detailed information about the problem the basics of the proposed optimization algorithm and the modification of the method parameters to the storage location assignment problems are explained A problem specific test function is created and the experimental results are discussed It is concluded that the optimization algorithm can reduce the cost of materials handling the time lost in the process of storage and process thereby reducing logistics costs and increasing revenue Chapter 9 Summary Findings and Recommendations I hope you ll enjoy reading this book Asst Prof Dr Mustafa TUNAY Tanıtım Bülteninden

Mustafa Tunay tarafından kaleme alınan A Novel Design of Optimization Algorithm Based on Optimization Problems and its Application on Real İstanbul Gelişim Üniversitesi Yayınları eseri olarak okurlarla buluşuyor A Novel Design of Optimization Algorithm Based on Optimization Problems and its Application on Real Mustafa Tunay Kitap Özeti Optimization Algorithms and Applications present a variety of solution techniques for optimization functions emphasizing concepts rather than rigorous mathematical details The book covers the stochastic method as a solution method for optimization functions It discusses hypercube evaluation as optimization algorithm The author shows how to solve benchmark functions unimodal functions simple multimodal functions hybrid functions and composition functions using the basic of hypercube optimization search algorithm HOS and simple modifications of the basic HOS code The book also introduces a novel method using random perturbation RP into two control parameters to solve a wide variety of optimization functions one of the first optimization book to do so and develops software code for the proposed algorithm In addition it examines neural network models educational institution problems and warehouse assignments The author follows a step by step approach to developing the MATLAB codes from the proposed algorithm The author then applies the codes to solve optimization functions taken from the literature and real world applications including portfolio optimization functions medical data classification problems timetabling problems and storage location assignments over time to sustain a high level of picking access performance stocking products in an optimized the assignment of products to storage locations This hands on approach improves your understanding and confidence in handling different solution methods Chapter 1 Introduction The optimization algorithms and its applications present a variety of solution techniques for optimization functions emphasizing concepts rather than rigorous mathematical details Chapter 2 The Design of Hypercube Optimization Search Algorithm HOS The original algorithm is called hypercube optimization search algorithm HOS to find a better solution for optimization problems The main steps of the algorithm comprise the initialization process the displacement shrink process and the searching areas process All details in the original algorithm have been represented in this chapter Chapter 3 The Design of Improved Hypercube Optimization Search Algorithm Based on Random Perturbation The original algorithm has been renewed by a new module using a random perturbation RP into two control parameters to solve a wide variety of optimization problems in the original search processes A novel RP is defined to improve the control parameters and is constructed of the algorithm All details in the improved algorithm have been represented in this chapter Chapter 4 Test Functions A set of experiments are done in order to test the performance of the original algorithm and the improved algorithm The different benchmark functions that are obtained from different research works for testing the designed algorithm are described Mathematical formulas and test areas of the test functions and their important characteristics are presented The information for standard benchmark functions and definitions of CEC 14 test suite functions are represented in this chapter Chapter 5 Simulation of Test Functions All test functions used in the simulation stage of the HOS algorithm and the improved HOS algorithm are described The performances of both algorithms are evaluated using benchmark functions and test functions CEC 14 on different dimensions and are compared with the performance of several comparative optimizer algorithms using benchmark functions on many different types of dimensions Chapter 6 The Design of the Hypercube Optimization Search Algorithm for Timetabling problems The proposed algorithm is applied to solving a timetabling problem which is very difficult to solve for many institutions of higher education and has resulted in a significant increase in their complexity Yayınevi İstanbul Gelişim Üniversitesi Yayınları Yazar Mustafa Tunay Sayfa 150 Sayfa Kağıt 2 Hamur Boyut 13 50x21 00 cm Basım Yılı Kasım 2022 Barkod 9786054827961 Kategori Bilgisayar Mühendisliği