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Design of modern heuristics: principles and application

Multimodal optimization by means of evolutionary algorithms

Deep Statistical Comparison for Meta-Heuristic Stochastic Optimization Algorithms

Contemporary Evolution Strategies

Self-organizing software: from natural to artificial adaptation

Computational Evolution of Neural and Morphological Development: Towards Evolutionary Developmental Artificial Intelligence

Automated Design of Machine Learning and Search Algorithms

Optimising the Software Development Process With Artificial Intelligence

The Science of Soft Robots: Design, Materials and Information Processing

Deep Neural Evolution: Deep Learning With Evolutionary Computation

General-Purpose Optimization Through Information Maximization

Evolutionary algorithms: the role of mutation and recombination

Membrane Computing: An Introduction

The theory of evolution strategies

Discrete and Topological Models in Molecular Biology

Theory and principled methods for the design of metaheuristics

Biologically inspired algorithms for financial modelling

Introduction to Metaheuristics for Optimization

Lectures on Intelligent Systems

Hyper-Heuristics: Theory and Applications

Applications of membrane computing

Nanotechnology: science and computation

Evolutionary Computer Vision: The First Footprints

Algorithmic bioprocesses

Advances in Evolutionary Computing: Theory and Applications

Advances in metaheuristics for hard optimization

Modelling in molecular biology

Theoretical Aspects of Evolutionary Computing

Massively Parallel Evolutionary Computation on GPGPUs

Introduction to Evolutionary Computing

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