平面选址问题实质上是带约束的非线性连续函数优化问题。
The essential of planar location issue is nonlinear continuous function optimization under constrained condition.
针对多极值连续函数优化问题，提出了一种自适应蚁群算法。
An adaptive ant colony algorithm is presented for the optimization of multi-minimum continuous function.
粒子群算法在求解连续函数优化问题中取得了广泛的应用，但是其在离散的组合优化问题中的运用还比较少。
Particle swarm optimization is widely used to solve continuous function optimization issue, but its application in discrete combination optimization problems is still relatively few.
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