Iztok Fister Jr.,∗ Dušan Fister,† and Xin-She Yang‡ Abstract Swarm intelligence is a very powerful technique to be used for optimization purposes. In this paper we present a new swarm intelligence algorithm, based on the bat algorithm. The Bat algorithm is hybridized with differential evolution strategies. Besides showing very promising results of the standard benchmark functions, this hybridiz...

The main objective of this paper is to analyze the evolution strategy by use of stochastic approximation methods Both constant and decreasing step size algorithms are studied Convergence and estimation error bounds for the evolution strategy are developed First the algorithm is converted to a recursively de ned scheme of stochastic approximation type Then the analysis is carried out by using th...

Evolutionary algorithms are frequently applied to dynamic optimization problems in which the objective varies with time. It is desirable to gain an improved understanding of the influence of different genetic operators and of the parameters of a strategy on its tracking performance. An approach that has proven useful in the past is to mathematically analyze the strategy's behavior in simple, id...

Evolution strategies are evolutionary algorithms that date back to the 1960s and that are most commonly applied to black-box optimization problems in continuous search spaces. Inspired by biological evolution, their original formulation is based on the application of mutation, recombination and selection in populations of candidate solutions. From the algorithmic viewpoint, evolution strategies...

Efficient Natural Evolution Strategies (eNES) is a novel alternative to conventional evolutionary algorithms, using the natural gradient to adapt the mutation distribution. Unlike previous methods based on natural gradients, eNES uses a fast algorithm to calculate the inverse of the exact Fisher information matrix, thus increasing both robustness and performance of its evolution gradient estima...

We propose a method for observing evolution of web communities. A web community is a set of web pages created by individuals or associations with a common interest on a topic. So far various techniques have been developed to extract web communities by link analysis. Since a community represents a certain topic, we can understand when and how the topic emerged and evolved in the Web. We have dev...

Evolution Strategies are global, direct optimisation algorithms, which have proven their efficiency in engineering applications for a large number of industrial applications. In this paper, the basic algorithm and some of its recent variants for design optimisation are presented. In addition, we give an overview of applications and a comparison to other optimisation algorithms. As an example we...

Evolution strategies | a stochastic optimization method originally designed for single criterion problems | have been modiied in such a way that they can also tackle multiple criteria problems. Instead of computing only one eecient solution interactively, a decision maker can collect as many members of the Pareto set as needed before making up his mind. Apart from this feature one could also re...

Relationships have been repeatedly identi ed as an important object-oriented modeling construct. Today most emerging modeling standards such as the ODMG object model and UML have some support for relationships. However while dealing with schema evolution, OODB systems have largely ignored the existence of relationships. We are the rst to propose comprehensive support for relationship evolution....