This paper presents the use of the feasibility and dominance (FAD) rules in a electromagnetism-like mechanism (EM) for the constraints handling in constrained global optimization. The FAD rules are easily incorporated in the EM algorithm: when two points are compared at a time and a selection is required, and when the direction of individual forces between two points has to be decided. Numerica...

This paper proposes a new approach by combining the Evolutionary Algorithm (EA) and socio-political process based Imperialist Competitive Algorithm (ICA). This approach tries to capture several people involved in community development characteristic. People live in different type of communities: Monarchy, Republic, Autocracy and Multinational. Leadership styles are different in each community. ...

We show here the existence of acoustic metamaterial, in which both the effective density and bulk modulus are simultaneously negative, in the true and strict sense of an effective medium. Our double-negative acoustic system is an acoustic analogue of Veselago's medium in electromagnetism, and shares many unique consequences, such as negative refractive index. The double negativity in acoustics ...

Power consumption of digital circuits is closely related to the switching activity. With more and more battery driven devices, as PDAs or laptops, the low power aspect is becoming one of the main issues in circuit design. In this context, the Data Ordering Problem with Inversion (DOPI) is of importance. Data words have to be ordered and (eventually) negated such that a minimal number of transit...

Given an evolutionary algorithm for a problem and an instance of the problem, the results of several trials of the EA on the instance constitute a sample from the distribution of all possible results of the EA on the instance. From this sample, we can estimate, nonparametrically or parametrically, the probability that another run of the EA, independent of the initial ones, will identify a bette...

The image synthesis technique is relatively well established which can generate facial images that are indistinguishable even by human beings. However, all of these approaches uses gradients to condition the output, resulting in outputting same with input. Also, they only basic expression or mimic an instead generating compound expression. In real life, however, expressions great diversity and ...

In this paper we address the problem of working paths optimization in survivable MPLS network. We focus on an existing facility network, in which only network flows can be optimized to provide network survivability using the local repair strategy. The main goal of our work is to develop an effective evolutionary algorithm (EA) for considered optimization problem. The novelty is that the propose...

Due to correlation coefficient matrix of initialized samples are not always positive definite, this paper presents the improved Latin Hypercube Sampling (LHS) methods with Evolutionary Algorithm (EA) to control correlation and handle power system probability analysis problem. To deal with the non-positive definite correlation matrix, an improved median Latin hypercube sampling with evolutionary...

Surrogate assisted evolutionary algorithms (EA) are rapidly gaining popularity where applications of EA in complex real world problem domains are concerned. Although EAs are powerful global optimizers, finding optimal solution to complex high dimensional, multimodal problems often require very expensive fitness function evaluations. Needless to say, this could brand any population-based iterati...