Advances in Swarm Intelligence. Variations and Adaptations for Optimization Problems

Description

Preface Contents State-of-the-Art A Brief Tutorial on Optimization Problems, Optimization Algorithms, Meta-Heuristics, and Swarm Intelligence 1 Optimization Problems 2 Optimization Algorithms 2.1 Derivative Dependent Algorithms 2.2 Derivative Free Algorithms 3 Meta-Heuristics 4 Swarm Intelligence Algorithms References Introductory Review of Swarm Intelligence Techniques 1 Introduction 2 Generic Framework of Swarm Intelligence Techniques 3 Evolution of Swarm Intelligence Techniques 4 Prominent Swarm Intelligence Algorithms 4.1 Particle Swarm Optimization 4.2 Firefly Algorithm 4.3 Bacteria Colony Algorithm 4.4 Crow Search Algorithm 4.5 Grey Wolf Optimization 4.6 Sperm Whale Algorithm 5 Applications of SI Techniques 6 Discussions and Conclusion References Swarm Intelligence for Deep Learning: Concepts, Challenges and Recent Trends 1 Introduction 2 Swarm Intelligence Algorithms: An Overview 3 Deep Learning: An Overview 4 Swarm Intelligence with Deep Learning 4.1 Neuroevolution 4.2 Other Popular Deep Frameworks with SI 5 Challenges and Future of Intelligent Deep Learning 6 Conclusion References Advances on Particle Swarm Optimization in Solving Discrete Optimization Problems 1 Introduction 2 Particle Swarm Optimization (PSO) 3 Knapsack Problem (KP) and Solution Using PSO 3.1 KP Basics and Constraints 3.2 Solution of KP Using PSO 4 Traveling Salesman Problem (TSP) and Solution Using PSO 4.1 TSP Basics and Constrains 4.2 Solution of TSP Using PSO 5 Vehicle Routing Problem (VRP) and Solution Using PSO 5.1 CVRP Basics and Constrains 5.2 Solution of CVRP Using PSO 6 University Course Scheduling Problem (UCSP) and Solution Using PSO 6.1 UCSP Basics and Constraints 6.2 Solution of UCSP Using PSO 7 Conclusions References Performance Analysis of Hybrid Memory Based Dragonfly Algorithm in Engineering Problems 1 Introduction 2 Mathematical Interpretation of DADE 3 Performance Evaluation 3.1 Experimental Results 3.2 Analysis of DADE 3.3 Statistical Analysis 4 Convergence Analysis 5 Conclusion References Engineering Problems Optimum Design and Tuning Applications in Structural Engineering via Swarm Intelligence 1 Introduction 2 Review on Design Optimization via Swarm Intelligence and Metaheuristic Algorithm 2.1 Optimization of Truss Structures 2.2 Reinforced Concrete Members 2.3 Frame Structures 3 Review on Tuning Optimization of Structural Control Systems Via Swarm Intelligence and Metaheuristic Algorithms 3.1 Passive Tuned Mass Dampers (TMD) 3.2 Active Tuned Mass Dampers (TMD) 4 Application Results of Several Problems 4.1 Optimum Design of Retaining Walls 4.2 Span Optimization of Frame Structures 4.3 Optimum Design of Passive and Active Mass Dampers 5 Conclusion References Bee Colony Optimization with Applications in Transportation Engineering 1 Introduction 2 Bee Colony Optimization 2.1 Constructive Version of the Algorithm (BCOc) 2.2 Improvement Version of the Algorithm (BCOi) 3 Review of BCO Applications in Transportation Engineering 4 Conclusions References Application of Swarm Based Approaches for Elastic Modulus Prediction of Recycled Aggregate Concrete 1 Introduction 2 Data Collection 3 Artificial Neural Network 4 Elephant Herding Optimization 5 Hybrid of ANN and EHO 6 Results and Discussions 6.1 Performance of Artificial Neural Network 6.2 Performance of Artificial Neural Network-Elephant Herding Optimization 7 Conclusions References Grey Wolf Optimizer, Whale Optimization Algorithm, and Moth Flame Optimization for Optimizing Photonics Crystals 1 Introduction 2 Photonic Crystal Waveguide and the Optimization Problem Targeted in This Work 3 Swarm Intelligence Algorithm 4 Results 5 Conclusion References Intelligent and Reliable Cognitive 5G Networks Using Whale Optimization Techniques 1 Introduction 2 Challenges in 5G 3 Cognitive Radio 4 Low-Density Parity-Check (LDPC) in 5G Channel 5 Proposed Approach: Integration of CR, LDPC in 5G with Whale Optimization Algorithm 5.1 Whale Optimization Technique 6 Results and Discussion 7 Conclusion References Machine Learning Automatic Data Clustering Using Farmland Fertility Metaheuristic Algorithm 1 Introduction 2 Related Works 3 Farmland Fertility Algorithm 4 Proposed Method 5 Result and Discussion 6 Conclusion and Future Works References A Comprehensive Review of the Firefly Algorithms for Data Clustering 1 Introduction 2 Contribution of the FA for Data Clustering 2.1 Use of Different Variants of FA Without Hybridization 2.2 FA Combined with K-Means Algorithm 2.3 FA Combined with Evolutionary Computing Algorithms 2.4 FA Combined with the Particle Swarm Optimization Algorithm 2.5 FA Combined with Fuzzy C-Means Algorithm 2.6 FA Combined with Density Peaks Clustering Algorithms 2.7 FA Combined with Markov Clustering Algorithms 3 Representations, Initialization of Fireflies and Cluster Validation Measures Used by the FA Based Methods for Data Clustering 3.1 Definition of Individuals (Representations) 3.2 Initializations 3.3 Performance Measures 4 Possible Further Enhancements to FA Based Clustering Algorithms 5 Conclusion References A Hybrid African Vulture Optimization Algorithm and Harmony Search: Algorithm and Application in Clustering 1 Introduction 2 Related Work 3 Background Knowledge 3.1 Data Clustering Problem 3.2 African Vulture Optimization Algorithm 3.3 Harmony Search Algorithm 4 AVOAHS Algorithm 5 Result and Discussion 6 Conclusion and Future Work References Estimation Models for Optimum Design of Structural Engineering Problems via Swarm-Intelligence Based Algorithms and Artificial Neural Networks 1 Introduction 2 Artificial Neural Networks (ANNs) 3 Applications via ANNs 4 Numerical Results 5 Results and Conclusion References A Novel Codebook Generation by Lévy Flight Based Firefly Algorithm 1 Introduction 2 Codebook Generation Algorithms 2.1 Vector Quantization and LBG Algorithm 2.2 PSO Algorithm 2.3 Fruit Fly Algorithm 2.4 Firefly Algorithm 3 Lévy Flight Based Firefly Algorithm for Codebook Generation 4 Parameters 5 Simulations and Results 6 Conclusion References Novel Chaotic Best Firefly Algorithm: COVID-19 Fake News Detection Application 1 Introduction 2 Background 2.1 Feature Selection 2.2 Metaheuristic Algorithms 3 Proposed Method 3.1 The Firefly Algorithm 3.2 Drawbacks of the FA 3.3 Proposed Chaotic-Based FA Metaheuristics 4 Experimental Setup 4.1 Dataset Collection 4.2 Data Preprocessing and Feature Extraction 4.3 Feature Selection 4.4 Model Development 4.5 Evaluation and Assesment 5 Results and Discussion 6 Conclusion References Other Applications Artificial Bee Colony and Genetic Algorithms for Parameters Estimation of Weibull Distribution 1 Introduction 2 Weibull Distribution 2.1 Maximum Likelihood Inference 2.2 Moment Inference 2.3 Proposed Functions 3 Swarm Intelligence Methods 3.1 Artificial Bee Colony 3.2 Genetic Algorithms 4 Simulation Study 4.1 Swarm Parameter Settings 4.2 Evaluation Criteria 4.3 Computational Implementation 4.4 Simulation Results 4.5 Real Data Example 5 Conclusion References Graph Structure Optimization for Agent Control Problems Using ACO 1 Introduction 2 Previous Works 3 Proposed Method 3.1 GNP Algorithm 3.2 Ant Colony Network Programming 4 Experimental Results 4.1 Pursuit Domain 4.2 Experimental Results and Analysis 5 Conclusions References A Bumble Bees Mating Optimization Algorithm for the Discrete and Dynamic Berth Allocation Problem 1 Introduction 2 Berth Allocation Problem 3 Bumble Bees Mating Optimization 4 Bumble Bees Mating Optimization for the Discrete and Dynamic Berth Allocation Problem 5 Computational Results 5.1 Overall Results 6 Conclusions References Applying the Population-Based Ant Colony Optimization to the Dynamic Vehicle Routing Problem 1 Introduction 2 Dynamic Vehicle Routing Problem 2.1 Problem Formulation 2.2 Generating Dynamic Test Cases 3 Population-based Ant Colony Optimization 3.1 Constructing Solutions 3.2 Updating Population-List 3.3 Updating Pheromone Trails 3.4 Responding to Dynamic Changes 4 Experimental Results 4.1 Experimental Setup 4.2 Comparison of P-ACO+H Against ACO+H 4.3 Comparison of P-ACO+H Against Other P-ACO Algorithms 5 Conclusions References An Improved Cuckoo Search Algorithm for the Capacitated Green Vehicle Routing Problem 1 Introduction 2 Literature Review 3 Material and Method 3.1 A Classical Green VRP Model 3.2 Solution Method 3.3 The VLCS Algorithm 4 Experimental Study 5 Conclusion and Future Research References Multi-Objective Artificial Hummingbird Algorithm 1 Introduction 2 Artificial Hummingbird Algorithm (AHA) 2.1 Guided Foraging 2.2 Territorial Foraging 2.3 Migration Foraging 3 Multi-objective Artificial Hummingbird Algorithm 4 Experimental Results and Discussions for Engineering Problems 5 Conclusion References