Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing: 7th International Conference, Semcco 2019, and 5th International Conference

ISBN-13: 9783030378370 / Angielski / Miękka / 2020 / 213 str.

Ales Zamuda; Swagatam Das; Ponnuthurai Nagaratnam Suganthan

Spis treści

Cooperative Model of Evolutionary Algorithms and Real-World Problems.- Pareto-based Self-Organizing Migrating Algorithm solving 100-Digit Challenge.- Population Size in Differential Evolution.- Channel Assignment with Ant Colony Optimization.- Self-organizing migrating algorithm with non-binary perturbation.- Boundary Strategies for Self-organizing Migrating Algorithm Analyzed Using CEC‘17 Benchmark.- MOEA with Approximate Nondominated Sorting based on Sum of Normalized Objectives.- Evolutionary Bi-Objective Optimization and Knowledge Extraction for Electronic and Automotive Cooling.- Classification of Stock Market Trends with Confidence-based Selective Predictions.- A Neural Net Based Prediction of Sound Pressure Level for the Design of the Aerofoil.- Competition of Strategies in jSO Algorithm.- Neural swarm virus.- Wrapper-based feature selection using Self-adaptive Differential Evolution.- SOMA T3A for Solving the 100-Digit Challenge.- Tracking the exploration and exploitation in stochastic population-based nature-inspired algorithms using recurrence plots.- Insight into Adaptive Differential Evolution Variants with Unconventional Randomization Schemes.- Virtual Measurement of the Backlash Gap in Industrial Manipulators.- Hybrid Elephant Herding Optimization Approach for Cloud Computing Load Scheduling.