A Prolog implementation of a simple Lamarckian evolution module for genetic algorithms is discussed. Lamarckian evolution posits that characteristics acquired during a phenotype's lifetime may be inherited by offspring. Although largely dismissed as a viable evolutionary theory for natural systems, Lamarckian evolution has proven effective within computer applications. The strengths of the impl...

Robustness is an important requirement for almost all kinds of products. In this article we show how evolutionary algorithms can be applied for robust design based on the approach of Taguchi. As an example we consider the design of multilayer optical coatings most frequently used for optical lters.

The use of evolutionary algorithms (EAs) to solve problems with multiple objectives (known as Vector Optimization Problems (VOPs)) has attracted much attention recently. Being population based approaches, EAs offer a means to find a group of pareto–optimal solutions in a single run. Differential Evolution (DE) is an EA that was developed to handle optimization problems over continuous domains. ...

To enhance the optimization performance of differential evolution algorithm, by studying the implementation mechanism of differential evolution algorithm, a new idea of incorporating differential strategy and rotation of qubits in the Bloch sphere is proposed in this paper. In the proposed approach, the individuals are encoded by qubits described on Bloch sphere, and the rotation angles of qubi...

floorplanning is an important step in physical design of vlsi circuits. it is used to plan the positions of a set of circuit modules on a chip in order to optimize the circuit performance. however, modern floorplanning takes better care of providing extra options to place dedicated modules in the hierarchical designs to align circuit blocks one by one within certain bounding box for helping seq...

In this article, we propose the Mapping-based Pseudo Binary Differential Evolution (MPBDE) algorithm for solving discrete optimization problems. Based on the framework of the standard DE, a new boundary constraint-handling operator ensures that the results of the mutation operator meet the boundary conditions. Then the real values of the genotypes mapped into the discrete ones in the phenotypes...

The Frequency Assignment is a very important task in the planning of the GSM networks, and it still continues to be a critical task for current (and future) mobile communication operators. In this work we present a hybrid Differential Evolution (DE) algorithm to solve a real-world instance of the Frequency Assignment problem. We present a detailed explanation about the hybridization method appl...

To maintain data integrity hash functions are generally used. Hash function is one type of cryptographic primitives, which provide an assurance for data integrity. NAS has designed SHA hash functions which are the set of cryptographic hash function. There are so many SHA function existing in which SHA-1 produces message digest that is of 160 bits long. Later in SHA-1 has been identified securit...

Automated program evolution has existed in some form for over thirty years. Signal understanding (e.g., signal classification) has been a scientific concern for even longer than that. Interest in generating, through machine learning techniques, a general signal understanding system is a newer topic, but has recently attracted considerable attention. First, I have proposed to define and create a...