This e-book is devoted to global optimization algorithms, which are methods to find optimal
solutions for given problems. It especially focuses on Evolutionary Computation by …

Evolutionary computation (EC), a collective name for a range of metaheuristic black-box
optimization algorithms, is one of the fastest-growing areas in computer science. Many …

Artificial gene regulatory networks (GRNs) are biologically inspired dynamical systems used
to control various kinds of agents, from the cells in developmental models to embodied robot …

Cell pattern generation has a fundamental role in both artificial and natural development.
This paper presents results from a model in which a genetic algorithm (GA) was used to …

Evolutionary and developmental processes are used to evolve the configurations of 3-D
structures in silico to achieve desired performances. Natural systems utilize the combination …

The implicit social structure of population groups have been previously investigated in the
literature representing enhancements in the performance of optimization algorithms. Here …

Most works in multicellular artificial ontogeny solve the halting problem by arbitrarily limiting
the number of iterations of the developmental process. Hence, the trajectory of the …

In this paper, we present a model for simulating the evolution of development together with a
method for the analysis of emergence of negative feedback inside the regulatory network. In …

Artificial Development is a field of Evolutionary Computation inspired by the developmental
processes and cellular growth seen in nature. Multiple models of artificial development have …

As the advantages of foldable or deployable structures are being discovered, research into
origami engineering has attracted more focus from both artists and engineers. With the aid of …