Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences

This book presents improved and extended versions of selected papers from EUROGEN 2019, a conference with interest on developing or applying evolutionary and deterministic methods in optimization of design and emphasizing on industrial and societal applications.

Contenu

Algorithmic topics:

. Metaheuristics and Evolutionary Algorithms (including Evolutionary Programming, Evolution Strategies, Genetic Algorithms, Memetic Algorithms and Artificial Immune Systems, etc.)
. Multi-objective Evolutionary Algorithms and Constraint Handling Techniques
. Adjoint based and One-shot Methods
. Hybrid Optimisation methods (Gradient Based Methods, Combinatorial Optimization Methods, etc.)
. High Performance Computing and GPUs based Optimisation Algorithms
. Goal oriented optimization for mesh and meshless methods
. Game Strategies
. Surrogate Models for Optimisation
. Parallel and distributed Evolutionary Algorithms (from LANs to GRID)
. Multi-disciplinary Optimization Methods
. Design Optimisation under Uncertainties
. Multi-criteria Decision Making
. Topology Optimization

Major applications areas:

. Aeronautics, Aerospace, and Space
. Agriculture and Food Production
. Automotive
. Bio Engineering and Medicine
. CAD and Manufacturing
. Civil and Structural Engineering
. Economics and Finance
. Electromagnetics
. Electronics
. Energy, including Renewable Energy
. Environment
. Genetics
. Material Science and Technology
. Offshores, Coastal and Marine Engineering and Operations
. RAMS Analysis
. Risk Analysis
. Smart Materials and Structures
. Social Sciences and Politics
. Telecommunications