Blind source separation technique separates mixed signals blindly without any information on the mixing system. In this paper, we have used two evolutionary algorithms, namely, genetic algorithm and particle swarm optimization for blind source separation. In these techniques a novel fitness function that is based on the mutual information and high order statistics is proposed. In order to evalu...

Lung cancer is one of the most dangerous diseases that cause a large number of deaths. Early detection and analysis can be very helpful for successful treatment. Image segmentation plays a key role in the early detection and diagnosis of lung cancer. K-means algorithm and classic PSO clustering are the most common methods for segmentation that have poor outputs. In t...

Some domains, like robot soccer, are difficult for agents to learn in using direct statistical and reinforcement learning techniques. However, agents often have a goal or purpose, which gives them a natural basis for reinforcement learning in the form of a fitness function. Such a fitness function allows the task of learning to be accomplished through optimization of the fitness function in the...

We have conducted an experiment with the intent to determine and quantify what properties of monophonic melodies humans perceive as appealing. This was done in an evolutionary setting: a population of melodies was subjected to Darwinian selection with popular human vote serving as the basis for the fitness function. We describe the experimental procedure, measures to avoid or minimise possible ...

This paper examines the role of social rewards as a corrective mechanism for activities which generate externalities. The focus of this paper is on the circumstances under which social rewards provide effective and feasible incentive mechanism that may replace laws and regulations. In particular, social mechanism is effective only in a society in which individuals who care about their standing ...

Skepticism of the building block hypothesis (BBH) has previously been expressed on account of the weak theoretical foundations of this hypothesis and the anomalies in the empirical record of the simple genetic algorithm. In this paper we hone in on a more fundamental cause for skepticism—the extraordinary strength of some of the assumptions that undergird the BBH. Specifically, we focus on assu...

Biomedical signals contain features that represent physiological events, and each of these events has peaks. The analysis of biomedical signals for monitoring or diagnosing diseases requires the detection of these peaks, making event detection a crucial step in biomedical signal processing. Many researchers have difficulty detecting these peaks to investigate, interpret and analyze their corres...

It is striking that the concept of fitness although fundamental in evolutionary theory, still remains ambiguous. I argue here that time, although usually neglected, is an important parameter in regards to the concept of fitness. I will show some of the benefits of taking it seriously using the example of recent debates over evolutionary transitions in individuality. I start from Okasha’s assert...

Today, and especially in the future, soldiers have to be able to operate and maintain a large variety of devices connected to the cyber domain in whatever environment they are operating in. This places a high demand on soldiers’ cognitive abilities and mechanisms that humans use to process and store information. In this paper we study how motivation, gained by understanding the purpose of tasks...