Implementation of Memetic Algorithms into Structural Optimization
The paper presents an implementation of the memetic algorithm for discrete structural optimization. This algorithm is a combination of genetic algorithm and five local search methods.
Peter Pechac +3 more
doaj +2 more sources
Application of Memetic Algorithms in Multi-Criteria Structural Optimization
The goal of this paper is to present new innovative algorithms for discrete structural optimization of problems involving multi-criteria objective function, which contains stress, displacement and frequency constraints. The algorithm is tested on a shell
Peter Pechac +4 more
doaj +2 more sources
A memetic algorithm with adaptive hill climbing strategy for dynamic optimization problems [PDF]
Copyright @ Springer-Verlag 2008Dynamic optimization problems challenge traditional evolutionary algorithms seriously since they, once converged, cannot adapt quickly to environmental changes. This paper investigates the application of memetic algorithms,
Wang, H +5 more
core +7 more sources
Local Search and the Evolution of World Models
Abstract An open question regarding how people develop their models of the world is how new candidates are generated for consideration out of infinitely many possibilities. We discuss the role that evolutionary mechanisms play in this process. Specifically, we argue that when it comes to developing a global world model, innovation is necessarily ...
Neil R. Bramley +3 more
wiley +1 more source
One-Machine Scheduling with Time-Dependent Capacity via Efficient Memetic Algorithms
This paper addresses the problem of scheduling a set of jobs on a machine with time-varying capacity, with the goal of minimizing the total tardiness objective function.
Raúl Mencía, Carlos Mencía
doaj +1 more source
A Hybrid Discrete Memetic Algorithm for Solving Flow-Shop Scheduling Problems
Flow-shop scheduling problems are classic examples of multi-resource and multi-operation scheduling problems where the objective is to minimize the makespan.
Levente Fazekas +4 more
doaj +1 more source
A Comparison between Single and Multi- Crossover Pointsto Break Hill Cipher Using Heuristic Search: MA & GA [PDF]
Hill cipher is a classical cipher which is based on linear algebra. In this method, matrices and matrix multiplication have been used to combine the plaintext. Heuristic search is a search techniques. The methods of HS are: (GA, SE, EP, MA, TS).
Dalal A. Hammood
doaj +1 more source
Memetic micro-genetic algorithms for cancer data classification
Fast and precise medical diagnosis of human cancer is crucial for treatment decisions. Gene selection consists of identifying a set of informative genes from microarray data to allow high predictive accuracy in human cancer classification. This task is a
Matías Gabriel Rojas +3 more
doaj +1 more source
ADAPTIVE MULTI-OBJECTIVE SUB-PIXEL MAPPING FRAMEWORK BASED ON MEMETIC ALGORITHM FOR HYPERSPECTRAL REMOTE SENSING IMAGERY [PDF]
Sub-pixel mapping technique can specify the location of each class within the pixels based on the assumption of spatial dependence. Traditional sub-pixel mapping algorithms only consider the spatial dependence at the pixel level.
Y. Zhong, L. Zhang
doaj +1 more source
Quantum-Inspired Distributed Memetic Algorithm
This paper proposed a novel distributed memetic evolutionary model, where four modules distributed exploration, intensified exploitation, knowledge transfer, and evolutionary restart are coevolved to maximize their strengths and achieve superior global ...
Guanghui Zhang +4 more
doaj +1 more source

