Handbook of Formal Optimization

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....

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Corporate Author: SpringerLink (Online service)
Other Authors: Kulkarni, Anand J. (Editor, http://id.loc.gov/vocabulary/relators/edt), Gandomi, Amir H. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edition:1st ed. 2024.
Subjects:
Online Access:https://doi.org/10.1007/978-981-97-3820-5
Table of Contents:
  • 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
  • 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
  • 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 Shallow Foundations
  • Boosting the Efficiency of Metaheuristics Through Opposition-Based Learning in Optimum Locating of Control Systems in Tall Buildings
  • Memory-Driven Metaheuristics: Improving Optimization Performance
  • 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
  • Steganography Based on Fuzzy Edge Detection, Cohort Intelligence and Thresholding
  • 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
  • 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 vs 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
  • 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
  • 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
  • Competitive Game Table and the Optimization Algorithm
  • A Comprehensive Review of Goal Programming Problems and Constraint Handling Approaches
  • A Comprehensive Review of Patient Scheduling Techniques with Uncertainty
  • Solving the 0-1 Knapsack Problem using LAB Algorithm
  • 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
  • Explaining Optimisation of Offshore Wind Farms Using Metaheuristics
  • Optimization of Concrete Chimneys Considering Random Underground Blast and Temperature Effects
  • Gear Material Selection Using an Integrated PSI-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
  • 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
  • Mechanical Machining Process Optimization
  • Energy-Efficient Manufacturing Scheduling: A Systematic Literature Review
  • 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.