本文關(guān)鍵詞：生態(tài)平衡動(dòng)力學(xué)優(yōu)化算法　出處：《計(jì)算機(jī)科學(xué)與探索》2017年10期 　論文類型：期刊論文

  更多相關(guān)文章： 啟發(fā)式算法 群智能優(yōu)化計(jì)算 進(jìn)化計(jì)算 Lotka-Volterra生態(tài)平衡動(dòng)力學(xué)模型

【摘要】：為了解決復(fù)雜函數(shù)優(yōu)化問(wèn)題,提出了一種Lotka-Volterra生態(tài)平衡動(dòng)力學(xué)優(yōu)化算法。該算法假設(shè)在某個(gè)生態(tài)系統(tǒng)中有自養(yǎng)者、消費(fèi)者和分解者3個(gè)種群。自養(yǎng)者主要是植物;消費(fèi)者主要是以自養(yǎng)者為食的動(dòng)物;分解者主要分解消費(fèi)者的死有機(jī)體,并給自養(yǎng)者提供營(yíng)養(yǎng)物質(zhì)。根據(jù)上述生態(tài)系統(tǒng)中種群的關(guān)系構(gòu)造出了消費(fèi)者-自養(yǎng)者算子、自養(yǎng)者-分解者算子、分解者-消費(fèi)者算子和生長(zhǎng)算子。自養(yǎng)者、消費(fèi)者和分解者種群的生長(zhǎng)變化相當(dāng)于搜索空間的試探解從一個(gè)位置轉(zhuǎn)移到另外一個(gè)位置。該算法具有搜索能力強(qiáng)和全局收斂性的特點(diǎn),為復(fù)雜優(yōu)化問(wèn)題的求解提供了一種解決方案。
[Abstract]:In order to solve the problem of complex function optimization, presents a Lotka-Volterra dynamic ecological balance optimization algorithm. The algorithm assumes that there is one autotrophic ecosystems, 3 populations of consumers and decomposers. Autotrophs are mainly plant; the main consumer is autotrophs eating animal; decomposition of main decomposition of dead organisms of consumers to provide, and autotrophic nutrients. According to the relationship between the population structure in the ecosystem of the consumer - autotrophs operator - autotrophic decomposition operator, decomposition operator and consumer growth operator. Autotrophs, consumers and changes in population growth decomposition is equivalent to the search space from one trial solution location to another. This algorithm has the characteristics of strong convergence and global search, and provides a solution for solving complex optimization problems.

【作者單位】： 西安建筑科技大學(xué)管理學(xué)院;
【基金】：教育部人文社會(huì)科學(xué)研究規(guī)劃基金No.15YJA910002 陜西省自然科學(xué)基礎(chǔ)研究計(jì)劃重點(diǎn)項(xiàng)目No.2015JZ010 陜西省教育廳服務(wù)地方專項(xiàng)計(jì)劃項(xiàng)目No.16JF015~~
【分類號(hào)】：TP18
【正文快照】： 1引言考慮函數(shù)優(yōu)化問(wèn)題ìí?????min f(X)s.t.gi(X)≥0,i=1,2,?,Ihi(X)=0,i=1,2,?,EX∈H?Rn(1)式中,Rn是n維歐氏空間;X=(x1,x2,…,xn)是一個(gè)n維決策向量,變量xi(i=1,2,…,n)為非負(fù)實(shí)數(shù);H為搜索空間,又稱解空間;f(X)為目標(biāo)函數(shù);gi(X)≥0為第i個(gè)約束條件,i=1,2,…,I,I為不等式約，

本文編號(hào)：1393084