Believe in me

本文通过一首励志歌曲传达了即使面对艰难挑战也不放弃的精神。歌词强调了内心的信念对于克服困难的重要性,鼓励人们只要保持信念并不断努力,就没有无法实现的梦想。

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Believe in me

Even when the thunder and storm begins
I'll be standing stong like a tree in the wind
Nothing is gonna move this mountain or change my direction
I'm falling off the sky and I'm all alone
The courage that's inside is gonna break my fall
Nothing is gonna dim my light within
But if I keep going on it will never be impossible
Not today.

Cause I got something to believe in
As long as I'm breathing
There is not a limit to what I can dream
Cause I got something to believe in
Mission to keep climbing
Nothing else can stop me if I just believe
And I believe in me.

Even when the world tries to pull me down
Tell me that I can't... try to turn me around
I wont let them put my fire out
But if I keep going on it will never be impossible
Not today

Cause I got something to believe in
As long as I'm breathing
There is not a limit to what I can dream
Cause I got something to believe in
Mission to keep climbing
Nothing else can stop me if I just believe
And I believe

I can do it all, open every door
Turn unthinkable to reality
You see I can do it all and more

Believing as long as I'm breathing
There is no limit to what I can dream
Believing mission to keep climbing
Nothing else can stop me if I just believe
And I believe in me.

 

 

 

 

 

基于python实现的粒子群的VRP(车辆配送路径规划)问题建模求解+源码+项目文档+算法解析,适合毕业设计、课程设计、项目开发。项目源码已经过严格测试,可以放心参考并在此基础上延申使用,详情见md文档 算法设计的关键在于如何向表现较好的个体学习,标准粒子群算法引入惯性因子w、自我认知因子c1、社会认知因子c2分别作为自身、当代最优解和历史最优解的权重,指导粒子速度和位置的更新,这在求解函数极值问题时比较容易实现,而在VRP问题上,速度位置的更新则难以直接采用加权的方式进行,一个常见的方法是采用基于遗传算法交叉算子的混合型粒子群算法进行求解,这里采用顺序交叉算子,对惯性因子w、自我认知因子c1、社会认知因子c2则以w/(w+c1+c2),c1/(w+c1+c2),c2/(w+c1+c2)的概率接受粒子本身、当前最优解、全局最优解交叉的父代之一(即按概率选择其中一个作为父代,不加权)。 算法设计的关键在于如何向表现较好的个体学习,标准粒子群算法引入惯性因子w、自我认知因子c1、社会认知因子c2分别作为自身、当代最优解和历史最优解的权重,指导粒子速度和位置的更新,这在求解函数极值问题时比较容易实现,而在VRP问题上,速度位置的更新则难以直接采用加权的方式进行,一个常见的方法是采用基于遗传算法交叉算子的混合型粒子群算法进行求解,这里采用顺序交叉算子,对惯性因子w、自我认知因子c1、社会认知因子c2则以w/(w+c1+c2),c1/(w+c1+c2),c2/(w+c1+c2)的概率接受粒子本身、当前最优解、全局最优解交叉的父代之一(即按概率选择其中一个作为父代,不加权)。
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