Abstract Expensive optimization problem (EOP) widely exists in various significant real-world applications. However, EOP requires expensive or even unaffordable costs for evaluating candidate solutions, which is the algorithm to find a satisfactory solution. Moreover, due fast-growing application demands economy and society, such as emergence of smart cities, internet things, big data era, solv...

Abstract Natural evolutionary strategies (NES) are a family of gradient-free black-box optimization algorithms. This study illustrates their use for the randomly initialized parameterized quantum circuits (PQCs) in region vanishing gradients. We show that using NES gradient estimator exponential decrease variance can be alleviated. implement two specific approaches, and separable NES, parameter...

In this contribution, different proposals found in the specialized literature for the application of evolutionary computation to the field of information retrieval will be reviewed. To do so, different kinds of IR problems that have been solved by evolutionary algorithms are analyzed. Some of the specific existing approaches will be specifically described for some of these problems and the obta...

The eld of evolutionary computation has been growing rapidly over the last few years. Yet, there are still many gaps to be lled, many experiments to be done, many questions to be answered. In this paper we examine a few important directions in which we can expect a lot of activities and signiicant results; we discuss them from a general perspective and in the context of a particular project: a ...

Evolutionary computation uses computational models of evolutionary processes as key elements in the design and implementation of computerbased problem solving systems. In this paper we provide an overview of evolutionary computation, and describe several evolutionary algorithms that are currently of interest. Important similarities and differences are noted, which lead to a discussion of import...

The use of Evolutionary Computation approaches to create images has reached a great popularity, leading to the appearance of a new art form – Evolutionary Art – and to the proliferation of Evolutionary Art Tools. In this paper we present and make an assessment of one of these tools: NEvAr. We also systematise and describe the work methodology currently used to generate images. When working with...

When multiple algorithms are applied to multiple benchmarks as it is common in evolutionary computation, a typical issue rises, how can we rank the algorithms? It is a common practice in evolutionary computation to execute the algorithms several times and then the mean value and the standard deviation are calculated. In order to compare the algorithms performance it is very common to use statis...