In the proposed algorithm, evolutionary algorithms are used to explore the leader's and the follower's decision-making spaces interactively. Unlike other existing approaches, in the suggested procedure the follower's problem is solved in two phases. First, an evolutionary algorithm is run for a ...
coevolutionary algorithms基本解释 协同进化算法 分词解释 coevolutionary共同进化的 algorithms运算法则( algorithm的名词复数 ) 猜你喜欢 algorithms library算法库 asymmetric encryption algorithms非对称加密算法 computational geometry algorithms librar计算几何 data structures and algorithms数据结构与算法 domain ...
网络协同进化算法 网络释义 1. 协同进化算法 协同进化算法(Co-evolutionary Algorithm)模拟了生物界物种之间的竞争、捕食、共生的关系,及在这些相互 作用下,各物种协 … www.showxiu.com|基于6个网页 例句 释义: 全部,协同进化算法
The evolutionary structure prediction algorithm mimics Darwinian evolution and employs a natural selection of the fittest in combination with variation operators, which has been proven to be very successful. In multicomponent systems, due to their vast compositional space, many structures/compositions have ...
A chaotic co-evolutionary algorithm based on differential evolution and particle swarm optimization (CCDEPSO) is proposed. CCDEPSO is a two-population co-evolutionary algorithm, in which the individuals of one population are evolved according to differential evolution algorithm (DE) and the other ind...
A competitive co-evolutionary algorithm is proposed to solve constrained robust design problems. The method uses three populations, among which one population evolves the values of the design variables and the other two evolves the values of two uncertainty variables, accounting for the target and ...
First, we apply a coevolutionary algorithm towards finding robust build-orders. Compared to exhaustive search, a genetic algorithm finds the strongest build-orders while a coevolutionary algorithm finds more robust build-orders. Second, we show that case-injection enables coevolution to learn from ...
This paper presents a new evolutionary procedure to design optimal networks of Radial Basis Functions (RBFs). It defines a self-organizing process into a population of RBFs based on the estimation of the fitness for each neuron in the population, and on
In this article we propose a different approach to implementing coevolution, called incremental coevolutionary algorithm (ICA) in which some of these problems are solved by design. In ICA, the importance of the coexistance of individuals in the same population is as important as the individuals ...
This paper introduces a new evolutionary algorithm for classification. A. Related work Classification has been studied extensively and the application of EAs to this field was initiated in the 1980s [15], [16]. Holland [15] and Smith [16] proposed two basic reference ...