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Evolution has produced a wide variety of organisms that interact with their physical environment through musculoskeletal systems. Movements are often aided by passive characteristics of an organism's body and the inherent flexibility of muscles. ...

This paper provides an attempt to investigate the properties of the Hall of Fame archive in two-population competitive coevolution environment applied to the game of Othello. Using the measure of expected utility, a round-robin tournament and ...

The ability to perceive size is shared by humans and animals. Babies present this basic ability from birth, and it improves with age. Counting, on the other hand, is a more complex task than size perception. We examined the theory that the counting ...

Artificial Immune algorithms are relatively new randomized meta-heuristics and not a lot of work has been done on parallel immune algorithms yet. Most of these implementations use some version of the first generation artificial immune algorithms. In ...

Estimation of Distribution Algorithms (EDAs) have been successfully applied to a wide variety of problems. The algorithmic model of EDA is generic and can virtually be used with any distribution model, ranging from the mere Bernoulli distribution to the ...

This paper shows the stage of development of a Service Oriented Architecture for Evolutionary Algorithms and the first results obtained in two different areas. The abstract architecture is presented, with its assocciated implementation using a widely ...

Historically, Evolutionary Algorithms (EAs) have been important for Evolutionary Computation (EC) community for two reasons: 1) As a simulation of evolutionary processes as they happen in nature, and 2) as a solution to hard optimization problems. With ...

Protein chains are typically large and consist of multiple domains which are difficult and computationally expensive to characterize using experimental methods. Therefore, accurate and reliable prediction of protein domain boundaries is often the ...

In this paper we present a novel local search for improving the ability of multiobjective evolutionary algorithms when finding repeated patterns -motifs- in DNA sequences. In the metaheuristic design, two competing goals must be taken into account: ...

Network virtualization is being regarded as a promising technology to create an ecosystem for cloud computing applications. One critical issue in network virtualization technology is power-efficient virtual network embedding (PE-VNE), which deals with ...

To improve the energy awareness of consumers, it is necessary to provide them with information about their energy demand, not just on the household level. Non-intrusive load monitoring (NILM) gives the consumer the opportunity to disaggregate their ...

The optimal power flow (OPF) is one of the central optimization problems in power grid engineering, building an essential tool for numerous control as well as planning issues. Methods for solving the OPF that mainly treat steady-state situations have ...

When faced with a new machine learning problem, selecting which classifier is the best to perform the task at hand is a very hard problem. Most solutions proposed in the literature are based on meta-learning, and use meta-data about the problem to ...

Restricting the class of problems we want to perform well on allows Black Box Search Algorithms (BBSAs) specifically tailored to that class to significantly outperform more general purpose problem solvers. However, the fields that encompass BBSAs, ...

Creating an Evolutionary Algorithm (EA) which is capable of automatically configuring itself and dynamically controlling its parameters is a challenging problem. However, solving this problem can reduce the amount of manual configuration required to ...

This paper discusses the central problems with creating valid computational social science simulations, and then suggests answers to these problems that involve co-evolution, autonomy, interpretation, and data processing under uncertainty. We also ...