Abstract: This paper describes a new Evolutionary Programming optimisation algorithm and a method of its application to multi-objective optimisation problems. Computational results are presented demonstrating the algorithm’s ability to find Paretooptimal solutions for a real-world problem in radiofrequency component design. 1 Introduction. In the engineering design process there is now widespread use of sophisticated and realistic numerical simulations of physical phenomena influencing design decisions. However, much of this use is on an ad ho
260 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1999.This dissertation discusses t...
Many areas in which computational optimisation may be applied are multi-objective optimisation probl...
Multi-objective simulation optimisation, evolutionary algorithms, hybrid algorithms Abstract – The ...
The paper concerns the design of evolutionary algorithms and pattern search methods on two circuit d...
Abstract: Various issues of the design and application of multiobjective evolutionary algorithms to ...
Optimisation is a challenge for computerized multidisciplinary design. With multidisciplinary design...
Several evolutionary algorithms (EAs) have emerged in the past decades that mimic biological entitie...
Abstract. In this work, a Multi-Niching Multi-Objective Genetic Algorithm is presented for solving m...
In this paper new multicriteria design optimization methods are discus-sed. These methods are evolut...
This work presents and compares three evolutionary algorithms (EAs), each one from three of the main...
this paper, we briefly outline the principles of multi-objective optimization. Thereafter, we discus...
This paper reviews recent progress made in Evolutionary Algorithms (EAs) for single, multiobjective ...
A review of evolutionary algorithms (EAs) with applications to antenna and propagation problems is p...
A review of evolutionary algorithms (EAs) with applications to antenna and propagation problems is p...
In the design of safety critical systems, engineers have to find trade-offs between different safety...
260 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1999.This dissertation discusses t...
Many areas in which computational optimisation may be applied are multi-objective optimisation probl...
Multi-objective simulation optimisation, evolutionary algorithms, hybrid algorithms Abstract – The ...
The paper concerns the design of evolutionary algorithms and pattern search methods on two circuit d...
Abstract: Various issues of the design and application of multiobjective evolutionary algorithms to ...
Optimisation is a challenge for computerized multidisciplinary design. With multidisciplinary design...
Several evolutionary algorithms (EAs) have emerged in the past decades that mimic biological entitie...
Abstract. In this work, a Multi-Niching Multi-Objective Genetic Algorithm is presented for solving m...
In this paper new multicriteria design optimization methods are discus-sed. These methods are evolut...
This work presents and compares three evolutionary algorithms (EAs), each one from three of the main...
this paper, we briefly outline the principles of multi-objective optimization. Thereafter, we discus...
This paper reviews recent progress made in Evolutionary Algorithms (EAs) for single, multiobjective ...
A review of evolutionary algorithms (EAs) with applications to antenna and propagation problems is p...
A review of evolutionary algorithms (EAs) with applications to antenna and propagation problems is p...
In the design of safety critical systems, engineers have to find trade-offs between different safety...
260 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1999.This dissertation discusses t...
Many areas in which computational optimisation may be applied are multi-objective optimisation probl...
Multi-objective simulation optimisation, evolutionary algorithms, hybrid algorithms Abstract – The ...