Delving into the close relationship between sense and emotion mingled with language can be of utmost importance in studies related to management of emotions. In this regard, the current study qualitatively attempted to examine to what extent sense-induced emotions can be recognized, labelled, and managed by individuals. To this end, 36 Iranian males and females were asked to participate in inte...

Electromagnetism-like Optimization (EMO) is a global optimization algorithm, particularly well-suited to solve problems featuring non-linear and multimodal cost functions. EMO employs searcher agents that emulate a population of charged particles which interact with each other according to electromagnetism’s laws of attraction and repulsion. However, EMO usually requires a large number of itera...

It is now easy to nd examples of interactive software agents and animated creatures that have the ability to express emotion; this paper describes research for giving them the ability to recognize emotion. The ability to recognize a per-son's emotions is a key aspect of human \emo-tional intelligence," which has been described by a number of scientists as being more important to success in life...

Emotions are an essential part of being human. Whether we experience them deeply, overcontrol them, or let overwhelm us, emotions have a big influence on our experiences, performance, and quality life. Bing emotional intelligent helps us make better decisions, forge stronger relationships, overcome challenging situations. To improve intelligence,we designed immersive setting where participants ...

The present-day evolutionary multi-objective optimization (EMO) algorithms had a demonstrated history of evolution over the years. The initial EMO methodologies involved additional niching parameters which made them somewhat subjective to the user. Fortunately, soon enough parameter-less EMO methodologies have been suggested thereby making the earlier EMO algorithms unpopular and obsolete. In t...

With the popularity of efficient multi-objective evolutionary optimization (EMO) techniques and the need for such problem-solving activities in practice, EMO methodologies and EMO research and application have received a great deal of attention in the recent past. The first decade of research in EMO area has been spent on developing efficient algorithms for finding a well-converged and well-dis...

A self-adaptive Pareto Evolutionary Multiobjective Optimization (EMO) algorithm based on differential evolution is proposed for evolving locomotion controllers in an artificially embodied legged creature. The objective of this paper is to demonstrate the trade-off between quality of solutions and computational cost. We show empirically that evolving controllers using the proposed algorithm incu...

As part of a study investigating commonalities between Prader-Willi syndrome (PWS-a genetic imprinting disorder) and early-onset obesity of unknown etiology (EMO) we measured total cerebral and cerebellar volume on volumetric magnetic resonance imaging (MRI) images. Individuals with PWS (N = 16) and EMO (N = 12) had smaller cerebellar volumes than a control group of 15 siblings (p = .02 control...

This paper examines how the search ability of evolutionary multi-objective optimization (EMO) algorithms can be improved by the hybridization with local search through computational experiments on multi-objective permutation flowshop scheduling problems. The task of EMO algorithms is to find a variety of nondominated solutions of multi-objective optimization problems. First we describe our mult...