A design framework for metaheuristics

A Unified Framework for Metaheuristics

Over the past decades, a multitude of new search heuristics, often called “metaheuristics” have been proposed, many of them inspired by principles observed in nature. What distinguishes them from random search is primarily that they maintain some sort of memory of the information gathered during the search so far, and that they use this information to select the location where the search space ...

A practical framework for adaptive metaheuristics

A COMPRATIVE STUDY OF THREE METAHEURISTICS FOR OPTIMUM DESIGN OF TRUSSES

In the present study, the computational performance of the particle swarm optimization (PSO) harmony search (HS) and firefly algorithm (FA), as popular metaheuristics, is investigated for size and shape optimization of truss structures. The PSO was inspired by the social behavior of organisms such as bird flocking. The HS imitates the musical performance process which takes place when a musicia...

a framework for business model design

this research was performed to recognize the ways ofbusiness model designing and explaining about the use of businessmodel in technology-oriented firms and enterprises, and leads them towands the implementation of the plans and new ideas in order to enter tolabor market or maintenance of their situation in internal and globalmarkets. the essay was considering the concept of business model andth...

ParadisEO: A Framework for the Reusable Design of Parallel and Distributed Metaheuristics

In this paper, we present the ParadisEO white-box object-oriented framework dedicated to the reusable design of parallel and distributed metaheuristics (PDM). ParadisEO provides a broad range of features including evolutionary algorithms (EA), local searches (LS), the most common parallel and distributed models and hybridization mechanisms, etc. This high content and utility encourages its use ...