This is an interesting application or remote sensing data. Some of the described algorithms hold promise, but some other aspects of this work require signifficant improvements. For example, even though the work is entitled as being "multi-objective" in reality several objectives have been lumped together to form a single objective which is minimised. This and several other concerns related to r...

In this paper, we suggest that Evolutionary Algorithms could be utilized in order to let the COMMONS GAME, one of the popular environmental games, become much more exciting. In order to attain this objective, we utilize Multi-Objective Evolutionary Algorithms to generate various skilled players. Further, we suggest that Evolutionary Programming could be utilized to find out an appropriate point...

Evolutionary algorithms have been successfully used to solve problems with 2 or more objective functions (called “multi-objective”) during the last 20 years.

in this paper, we proposed an algorithm for solving the problem of task scheduling using particle swarm optimization algorithm, with changes in the selection and removing the guide and also using the technique to get away from the bad, to move away from local extreme and diversity. scheduling algorithms play an important role in grid computing, parallel tasks scheduling and sending them to appr...

despite the growing use of evolutionary multi-objective optimization algorithms in different categories of science, these algorithms as a powerful tool in portfolio optimization and specially solving multi-objective portfolio optimization problem is still in its early stages. in this paper, moeas have been used for solving multi-objective portfolio optimization problem in tehran stock market. f...

The ultimate goal of semantic web (SW) is to implement mutual collaborations among ontology-based intelligent systems. To this end, it necessary integrate those domain-independent and cross-domain ontologies by finding the correspondences between their entities, which so-called ontology matching. improve quality alignment, in work, matching problem first defined as a sparse multi-objective opti...