Titlebook: Nature Inspired Cooperative Strategies for Optimization (NICSO 2013); Learning, Optimizati German Terrazas,Fernando E. B. Otero,Antonio D.

Liability

Part-of-Speech Tagging Using Evolutionary Computation,blem. This approach was designed with the aim of being easily extended to other natural language processing tasks that share characteristics with the part-of-speech tagging problem. The results obtained in two different English corpora are among the best published.

ICLE

Empirical Study of Computational Intelligence Strategies for Biochemical Systems Modelling,tion results of different variants of those computational methods on a standard signaling pathway show that it is feasible to obtain a tradeoff between the generation of desired behaviour and similar and alternative topologies.

捕鲸鱼叉

Stress-Fracture

A Multiple Pheromone Ant Clustering Algorithm,re picked up, followed, and reinforced by other ants but also evaporate over time. Optimal paths attract more pheromone and less useful paths fade away. The main innovation of the proposed Multiple Pheromone Ant Clustering Algorithm (MPACA) is to mark objects using many pheromones, one for each valu

Bouquet

An Island Memetic Differential Evolution Algorithm for the Feature Selection Problem,ridized version of the Differential Evolution algorithm, the Island Memetic Differential Evolution algorithm, for solving the feature subset selection problem while the Nearest Neighbor Classification method is used for the classification task. The performance of the proposed algorithm is tested usi

insurrection

Using a Scouting Predator-Prey Optimizer to Train Support Vector Machines with non PSD Kernels,ines with non positive definite kernels, including distance substitution based kernels. These kernels can arise in practical applications, resulting in multi-modal optimization problems where traditional algorithms can struggle to find the global optimum. We compare the scouting predator-prey algori

Tortuous

Response Surfaces with Discounted Information for Global Optima Tracking in Dynamic Environments, black boxes are presented in this paper. The response surfaces are built using Gaussian processes fitted to data which is obtained through sequential sampling. The efficient global optimization (EGO) algorithm applied to the generated response surface is used to determine the next most promising sa

平庸的人或物

陪审团

Adaptation Schemes and Dynamic Optimization Problems: A Basic Study on the Adaptive Hill Climbing Mquired once a change in the environment is detected: forget it or use it in subsequent changes? In this work, the knowledge is associated with the selection probability of two local search operators in the Adaptive Hill Climbing Memetic Algorithm. When a problem change is detected, those probability

adjacent

Using Base Position Errors in an Entropy-Based Evaluation Function for the Study of Genetic Code Ad researchers have proposed that the canonical genetic code is a product of natural selection. This hypothesis is supported by its robustness against mutations. In this paper, we propose a new evaluation function based on entropy and robustness against base position errors for the study of genetic co