Shows how to develop algorithms for real-world problems based on new metaheuristic methods

Addresses important real-world problems

Presents a comprehensive collection of extended contributions

Statistical Measurements of Metaheuristics for Solving Engineering Problems.- Heuristic Approaches for the Stochastic Multi-Depot Vehicle Routing Problem with Pickup and Delivery.- Evaluation of MO-ACO Algorithms Using a New Fast Inter-Criteria Analysis Method.- Semantic Graph Queries on Linked Data in Knowledge Graphs.- Online Single-Machine Scheduling via Reinforcement Learning.- Ant Colony Optimization Algorithm for Fuzzy Transport Modelling: InterCriteria Analysis.- Approximation and Exact Algorithms for Multiprocessor Scheduling Problem with Release and Delivery Times.- A Hybrid Method for Scheduling Multiprocessor Tasks on Two Dedicated Processors.- Mathematical Model and its Optimization to Predict the Parameters of Compressive Strength Test.- Optimal Tree of a Complete Weighted Graph.- Simulation of Diffusion Processes in Bimetallic Nanofilms.- On the Problem of Bimetallic Nanostructures Optimization: An Extended Two-Stage Monte Carlo Approach.- An Analysis on the Degreesof Freedom of Binary Representations for Solutions to Discretizable Distance Geometry Problems.- Dynamic Programming for the Synchronization of Energy Production and Consumption Processes.- Reducing the First-type Error Rate of the Log-rank Test: Asymptotic Time Complexity Analysis of an Optimized Test's Alternative.- Zero Point Approach to Three-Dimensional Intuitionistic Fuzzy Transportation Problem.- On Index-Matrix Interpretation of Interval-Valued Intuitionistic Fuzzy Hamiltonian Cycle.- On the Conceptual Optimization of Generalized Net Models.- Sensitivity Study of a Large-Scale Air Pollution Model by Using Optimized Latin Hyprecube Sampling.- Optimized Quasi-Monte Carlo Methods Based on Van der Corput Sequence for Sensitivity Analysis in Air Pollution Modelling.- Advanced Stochastic Approaches Based on Lattice Rules for Multiple Integrals in Option Pricing.- Advanced Stochastic Approaches for Multidimensional Integrals in Neural Networks.- Improved Stochastic Approaches for Evaluation of the Wigner Kernel.- A Numerical Study on Optimal Monte Carlo Algorithm for Multidimensional Integrals.- Expansions on Quadrature Formulas and Numerical Solutions of Ordinary Differential Equations.- Advanced Stochastic Approaches Based on Lattice Rules for Multiple Integrals in Option Pricing.