Branching occurs in natural systems for functional reasons. However, the branching logic for each specific system is quite different due to environmental and mathematical factors. In the computation of branching systems, these mathematical factors can be incorporated quite easily into the coding of each system. However, it is the environmental components that must be given further consideration in the simulation of these natural systems. Through the engine of genetic algorithms based on evolutionary developmental theory, the specific logics observed and analyzed in branching patterns of river systems, trees, and insect tracheae can be simulated and optimized in a digital environment
An evolutionary algorithm was developed to investigate how the biological genetic code may have evol...
Aim Fractal networks, represented by branching complexity in rivers, are ubiquitous in nature. In ri...
In recent times computational algorithms inspired by biological processes and evolution are gaining ...
This chapter presents an introduction of evolutionary and other nature-inspired computation. The mos...
\ua9 International Institute for Applied Systems Analysis 2005. Biology takes a special place among ...
The study uses a repetitive rule of geometric and arithmetical expression, cradle in the movement of...
L-systems are widely used in the modelling of branching structures and the growth process of biologi...
This chapter considers learning algorithms patterned after the processes underlying evolution: shapi...
This paper proposes that evolutionary computation be understood more like computational evolution, i...
This paper investigates the relations between biological evolution and computer simulations of evolv...
Research on stochastic optimisation methods emerged around half a century ago. One of these methods,...
Building time series models for ecological systems that can be physically interpreted is important b...
Biology takes a special place among the other natural sciences because biological units, be they pie...
Abstract. Evolutionary computation uses computational models of evolution-ary processes as key eleme...
In evolutionary computation it is common for the genotype to map directly to the phenotype such that...
An evolutionary algorithm was developed to investigate how the biological genetic code may have evol...
Aim Fractal networks, represented by branching complexity in rivers, are ubiquitous in nature. In ri...
In recent times computational algorithms inspired by biological processes and evolution are gaining ...
This chapter presents an introduction of evolutionary and other nature-inspired computation. The mos...
\ua9 International Institute for Applied Systems Analysis 2005. Biology takes a special place among ...
The study uses a repetitive rule of geometric and arithmetical expression, cradle in the movement of...
L-systems are widely used in the modelling of branching structures and the growth process of biologi...
This chapter considers learning algorithms patterned after the processes underlying evolution: shapi...
This paper proposes that evolutionary computation be understood more like computational evolution, i...
This paper investigates the relations between biological evolution and computer simulations of evolv...
Research on stochastic optimisation methods emerged around half a century ago. One of these methods,...
Building time series models for ecological systems that can be physically interpreted is important b...
Biology takes a special place among the other natural sciences because biological units, be they pie...
Abstract. Evolutionary computation uses computational models of evolution-ary processes as key eleme...
In evolutionary computation it is common for the genotype to map directly to the phenotype such that...
An evolutionary algorithm was developed to investigate how the biological genetic code may have evol...
Aim Fractal networks, represented by branching complexity in rivers, are ubiquitous in nature. In ri...
In recent times computational algorithms inspired by biological processes and evolution are gaining ...