Evolutionary Computation: One Project, Many Directions
نویسندگان
چکیده
The eld of evolutionary computation has been growing rapidly over the last few years. Yet, there are still many gaps to be lled, many experiments to be done, many questions to be answered. In this paper we examine a few important directions in which we can expect a lot of activities and signiicant results; we discuss them from a general perspective and in the context of a particular project: a development of an evolutionary planner/navigator in a mobile robot environment.
منابع مشابه
An Evolutionary Algorithm Based on a Hybrid Multi-Attribute Decision Making Method for the Multi-Mode Multi-Skilled Resource-constrained Project Scheduling Problem
This paper addresses the multi-mode multi-skilled resource-constrained project scheduling problem. Activities of real world projects often require more than one skill to be accomplished. Besides, in many real-world situations, the resources are multi-skilled workforces. In presence of multi-skilled resources, it is required to determine the combination of workforces assigned to each activity. H...
متن کاملAn Energy-efficient Mathematical Model for the Resource-constrained Project Scheduling Problem: An Evolutionary Algorithm
In this paper, we propose an energy-efficient mathematical model for the resource-constrained project scheduling problem to optimize makespan and consumption of energy, simultaneously. In the proposed model, resources are speed-scaling machines. The problem is NP-hard in the strong sense. Therefore, a multi-objective fruit fly optimization algorithm (MOFOA) is developed. The MOFOA uses the VIKO...
متن کاملParameter Control in Evolutionary Algorithms
The issue of controlling values of various parameters of an evolutionary algorithm is one of the most important and promising areas of research in evolutionary computation: It has a potential of adjusting the algorithm to the problem while solving the problem. In this paper we: 1) revise the terminology, which is unclear and confusing, thereby providing a classification of such control mechanis...
متن کاملSynergies between Evolutionary and Neural Computation
Evolutionary and neural computation share the same philosophy to use biological information processing for the solution of technical problems. Besides this important but rather abstract common foundation, there have also been many successful combinations of both methods for solving problems as applied as the design of turbomachinery components. In this paper, we will introduce evolutionary algo...
متن کاملFinal Report: Saga 3 Brief History of the Saga Project
This report documents the latest work in the SAGA (Spray Advisor using Genetic Algorithms) project, the goal of which is to provide an effective means for a computer to recommend an optimal set of parameters for spraying a wooded area with pesticide. Current work is in two directions. One of these is the maintenance of older SAGA programs, some of which were built on now-obsolete platforms. The...
متن کامل