Abstract:- A Detecting Peak's Number (DPN) technique is proposed for multimodal optimization. In DPN technique, we want to know the peak’s number of locally multimodal domain of every individual, firstly we use the idea of orthogonal intersection for getting the exploration direction in every locally multimodal domain, and then we attempt to detect peak’s number in every one-dimension direction as the result of detecting of locally multimodal domain. At last we design an evolution algorithm (DPNA) based on the characters of DNP technique, which contain four characters: niching, variable population, variable radius and life time, and then give a series of experiment results which show the effectiveness of algorithm, as the DPNA is not o...
In a multimodal optimization task, the main purpose is to find multiple optimal (global and local) s...
In this paper, we consider the problem of minimizing a function in several variables which could be ...
This paper presents a new fitness evaluation approach based on aggregated pairwise comparisons (APC)...
A technique is described which allows unimodal function optimization methods to be extended to effic...
Multimodal optimization deals with problems where multiple feasible global solutions coexist. Despit...
This paper propounds a new evolution strategy, the Discrete Directions Mutation Evolution Strategy (...
We propose a niching method for solving multi-modal optimization problems from their frequency infor...
Abstract: How to detect global optimums which reside on complex function is an important problem in ...
This paper presents the adaptation of an immune network model, originally proposed to perform inform...
Abstract—In this paper, a novel algorithm for multimodal func-tion optimization is proposed, based o...
In multimodal function optimization, niching tech-niques create diversification within the populatio...
In this paper is presented an hybrid algorithm for finding the absolute extreme point of a multimoda...
Multimodal optimization is one of the interesting problems in optimization which arises frequently i...
This article introduces multimodal optimization (MMO) methods aiming to locate multiple optimal (or ...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
In a multimodal optimization task, the main purpose is to find multiple optimal (global and local) s...
In this paper, we consider the problem of minimizing a function in several variables which could be ...
This paper presents a new fitness evaluation approach based on aggregated pairwise comparisons (APC)...
A technique is described which allows unimodal function optimization methods to be extended to effic...
Multimodal optimization deals with problems where multiple feasible global solutions coexist. Despit...
This paper propounds a new evolution strategy, the Discrete Directions Mutation Evolution Strategy (...
We propose a niching method for solving multi-modal optimization problems from their frequency infor...
Abstract: How to detect global optimums which reside on complex function is an important problem in ...
This paper presents the adaptation of an immune network model, originally proposed to perform inform...
Abstract—In this paper, a novel algorithm for multimodal func-tion optimization is proposed, based o...
In multimodal function optimization, niching tech-niques create diversification within the populatio...
In this paper is presented an hybrid algorithm for finding the absolute extreme point of a multimoda...
Multimodal optimization is one of the interesting problems in optimization which arises frequently i...
This article introduces multimodal optimization (MMO) methods aiming to locate multiple optimal (or ...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
In a multimodal optimization task, the main purpose is to find multiple optimal (global and local) s...
In this paper, we consider the problem of minimizing a function in several variables which could be ...
This paper presents a new fitness evaluation approach based on aggregated pairwise comparisons (APC)...