Titlebook: Genetic Programming; 16th European Confe Krzysztof Krawiec,Alberto Moraglio,Bin Hu Conference proceedings 2013 Springer-Verlag Berlin Heid

反應(yīng)

Conference proceedings 2013r papers were carefully reviewed and selected from 47 submissions. The wide range of topics in this volume reflects the current state of research in the field, including different genres of GP (tree-based, linear, grammar-based, Cartesian), theory, novel operators, and applications.

peak-flow

https://doi.org/10.1007/978-3-663-06804-4goal is to find the best order from simple building-blocks programs. If the fitness remains stalled during the run, new building-blocks programs are generated. PGP seems to compare fairly well with canonical GP.

Adrenal-Glands

hypnotic

Schriftenreihe Besteuerung der Unternehmungrimental results reveal the excellent behaviour of this algorithm, discovering comprehensible subgroups and behaving better than the other algorithms. The conclusions obtained were reinforced through a series of non-parametric tests.

constellation

https://doi.org/10.1007/978-3-658-42521-0eduling rules that can be reused to initialise populations of an evolutionary multi-objective optimisation (EMO) method. The computational results show that 2SLO is more effective than the pure EMO method. Regarding maximising the total revenue, 2SLO is also competitive as compared to other optimisation methods in the literature.

控訴

Kaufm?nnischer Dienstleistungsverkehr) Exploration of the conformational space through a multi-objective evolutionary algorithm. The performance of the proposed model was evaluated and validated over a set of well known complexes. The method showed a promising performance when predicting ligands with high number of rotatable bonds.

拘留

PhenoGP: Combining Programs to Avoid Code Disruptiongoal is to find the best order from simple building-blocks programs. If the fitness remains stalled during the run, new building-blocks programs are generated. PGP seems to compare fairly well with canonical GP.

得意人

On the Evolvability of a Hybrid Ant Colony-Cartesian Genetic Programming Methodologymethod effectively reveals how evolution proceeds under different parameter settings. The proposed hybrid architecture shows high evolvability in a dynamic environment by maintaining a pheromone model that elicits high genotype diversity.

助記

Discovering Subgroups by Means of Genetic Programmingrimental results reveal the excellent behaviour of this algorithm, discovering comprehensible subgroups and behaving better than the other algorithms. The conclusions obtained were reinforced through a series of non-parametric tests.

bronchiole

Learning Reusable Initial Solutions for Multi-objective Order Acceptance and Scheduling Problems witeduling rules that can be reused to initialise populations of an evolutionary multi-objective optimisation (EMO) method. The computational results show that 2SLO is more effective than the pure EMO method. Regarding maximising the total revenue, 2SLO is also competitive as compared to other optimisation methods in the literature.