狼群算法netlogo代码

狼群算法（Wolf Pack Algorithm）是一种基于群体智能的优化算法，灵感来源于狼群的协同行为。下面是一个简单的狼群算法的NetLogo代码示例：

globals [
  wolves
  prey
]

turtles-own [
  velocity
]

to setup
  clear-all
  create-wolves 10
  create-prey 1
  reset-ticks
end

to create-wolves [num-wolves]
  create-turtles num-wolves [
    set shape "wolf"
    set color gray
    set size 2
    setxy random-xcor random-ycor
    set velocity random-float 1.0
  ]
  set wolves turtles
end

to create-prey [num-prey]
  create-turtles num-prey [
    set shape "prey"
    set color red
    set size 2
    setxy random-xcor random-ycor
  ]
  set prey turtles
end

to move-wolves
  ask wolves [
    let nearest-prey min-one-of prey [distance myself]
    face nearest-prey
    fd velocity
  ]
end

to move-prey
  ask prey [
    setxy random-xcor random-ycor
  ]
end

to hunt-prey
  ask wolves [
    let nearest-prey min-one-of prey [distance myself]
    if distance nearest-prey < 1 [
      ask nearest-prey [die]
    ]
  ]
end

to go
  move-wolves
  move-prey
  hunt-prey
  tick
end

这段代码实现了一个简单的狼群算法模拟。在模拟中，狼群（wolves）和猎物（prey）都是代表个体的乌龟（turtles）。狼群通过调整速度和朝向来追逐最近的猎物，当狼与猎物距离小于1时，狼会捕食猎物。