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The formal optimization handbook is a comprehensive guide that covers a wide range of subjects. It includes a literature review, a mathematical formulation of optimization methods, flowcharts and pseudocodes, illustrations, problems and applications, results and critical discussions, and much more. The book covers a vast array of formal optimization fields, including mathematical and Bayesian optimization, neural networks and deep learning, genetic algorithms and their applications, hybrid optimization methods, combinatorial optimization, constraint handling in optimization methods, and swarm-based optimization. This handbook is an excellent reference for experts and non-specialists alike, as it provides stimulating material. The book also covers research trends, challenges, and prospective topics, making it a valuable resource for those looking to expand their knowledge in this field.
Preface
About the Editors
Contributors
Mathematical Optimization/Programming
Robust Optimization of Discontinuous Loss Functions
Robust Conjugate Gradient Methods for Non-smooth Convex Optimization and Image Processing Problems
Solving Cropping Pattern Optimization Problems Using Robust Positive Mathematical Programming
Optimal Allocation of Groundwater Resources in the Agricultural Sector Under Restrictive Policies on Groundwater Extraction
Incorporating Nelder-Mead Simplex as an Accelerating Operator to Improve the Performance of Metaheuristics in Nonlinear System Identification
Evolutionary Optimization-Based Methods
A Discrete Cuckoo Search Algorithm for the Cumulative Capacitated Vehicle Routing Problem
Commonly Used Static and Dynamic Single-Objective Optimization Benchmark Problems
Evolutionary Multi-objective Optimization of Hyperparameters for Decision Support in Healthcare
Steganography Based on Fuzzy Edge Detection, Cohort Intelligence, and Thresholding
Swarm-Based Optimization
Combination of Cooperative Grouper Fish – Octopus Algorithm and DBSCAN to Automatic Clustering
Multi-population Evolutionary and Swarm Intelligence Dynamic Optimization Algorithms: A Survey
Solving Vehicle Routing Problem Using a Hybridization of Gain-Based Ant Colony Optimization and Firefly Algorithms
Impact of Local Search in the Memetic Particle Swarm Optimization
Salp Swarm Algorithm for Optimization of ShallowFoundations
Boosting the Efficiency of Metaheuristics Through Opposition-Based Learning in Optimum Locating of Control Systems in Tall Buildings
Memory-Driven Metaheuristics: Improving Optimization Performance
Physics-Based Optimization
Synergistic Collaboration of Motion-Based Metaheuristics for the Strength Prediction of Cement-Based Mortar Materials Using TSK Model
Positron-Enabled Atomic Orbital Search Algorithm for Improved Reliability-Based Design Optimization
Machine Learning
Classification of Emotions in Ambient Assisted Living Environment Using Machine Learning Approaches
Optimization and Machine Learning Algorithms for Intelligent Microwave Sensing: A Review
Machine Learning Algorithms for Autonomous Vehicles
Neural Networks and Deep Learning
High-Resolution Remote Sensing Image Classification with Kernel Linear Discriminant Analysis
Neural Networks and Deep Learning
Deep Learning in Stock Market: Techniques, Purpose, and Challenges
DNN Approach to Obtain BER Versus SNR for Spatial Modulation System
Steel Plate Fault Detection Using the Fitness-Dependent Optimizer and Neural Networks
Dynamic Intelligence of Self-Organized Map in the Frequency-Based Optimum Design of Structures
Combination of Bagging and Neural Network for Improving Precipitation Estimates Using Remote Sensing Data
Multi-objective Optimization
Robust Optimization of PTO Settings for Point Absorber Wave Energy Converter
T-adaptive an Online Tuning Technique Coupled to MOEA/D Algorithm: A Comparative Analysis with Offline Parameter Tuning Techniques
Cohort Intelligence-Based Multi-objective Optimizer
Hybrid Optimization Methods
Deep Learning for Solving Loading, Packing, Routing, and Scheduling Problems
Solving the Pallet Loading Problem with Deep Reinforcement Learning
A Variant of Parallel-Hybrid Genetic Algorithm for Large-Scale Traveling Salesman Problem
Variable Neighborhood Search for Cost Function Networks
Goal Programming Problems and Methods
Competitive Game Table and the Optimization Algorithm
A Comprehensive Review of Goal Programming Problems and Constraint Handling Approaches
Combinatorial Optimization
A Comprehensive Review of Patient Scheduling Techniques with Uncertainty
Solving the 0–1 Knapsack Problem Using LAB Algorithm
Genetic Algorithms and Applications
Genetic Algorithms and Applications
Multi-objective Genetic Algorithms
Bilinear Fuzzy Genetic Algorithm and Its Application on the Optimum Design of Steel Structures with Semi-rigid Connections
Variants of the Genetic Algorithm on Load Frequency Control Application
Engineering Optimization
Explaining Optimisation of Offshore Wind Farms Using Metaheuristics
Optimization of Concrete Chimneys Considering Random Underground Blast and Temperature Effects
Gear Material Selection Using an IntegratedPSI-MOORA Method
Heuristics: An Overview
A Brief Review of Bilevel Optimization Techniques and Their Applications
Mastering the Cosmos: Leveraging Optimization Methods for Advances in Space Exploration
Optimization in Management
Solving the Total Weighted Earliness Tardiness Blocking Flowshop Scheduling Problem
Solving Multiple Traveling Salesmen Problem Using Prim's and Dijkstra's Algorithms: A Case Study on Emergency Medical Supplies
Optimization in Manufacturing Processes
Mechanical Machining Process Optimization
Energy-Efficient Manufacturing Scheduling: A Systematic Literature Review
Constraint Handling in Optimization Methods
A Socio-Physics-Based Hybrid Metaheuristic for Solving Complex Non-convex Constrained Optimization Problems
Overcoming Constraints: The Critical Role of Penalty Functions as Constraint-Handling Methods in Structural Optimization
Index