A bi-objective nonlinear integer programming model with linear constraints is proposed to precisely formulate the total travel time cost and operating cost under minute-dependent demand from the different origin–destination pairs. The proposed model is implemented by using the genetic algorithm with the...
A two-stage multi-period decision-dependent stochastic programming model is then developed to address the prevention of loss of life through emergency vehicle routing. This stochastic program considers different storm scenarios and allows mitigation actions taken in the first stage to affect second stage...
1.A nonlinear integer programming model of optimized missile allocation is presented.建立了导弹火力优化分配的非线性整数规划模型,并给出了模型的自适应遗传算法求解,改进的遗传操作算子较好地处理了模型的整数约束条件,直观明了,简单易行。 2.Finally,the nonlinear integer programming model about flight frequencies...
Then, the problem was identified as 0鈥 1 nonlinear integer programming, and the constrained planning problem was transformed into an unconstrained problem by means of an objective function, constraints, and introduction of weights to optimise the planning using a genetic algorithm. However, testing ...
technology, a modular transit network system (MTNS) concept is proposed to overcome the mismatch between fi xed vehicle capacity and spatially varying travel demand in traditional public transportation systems. To achieve the optimal MTNS design, a mixed-integer nonlinear programming model is developed...
This paper proposes a nonlinear integer goal programming model (NIGPM) for solving the general problem of admission capacity planning in a country as a whole. The work aims to satisfy most of the required key objectives of a country related to the enrollment problem for higher education. The ...
2) multi object nonlinear integer programming 多目标非线性整数规划 1. To satisfy the demand, an interactive QoS routing algorithm based on multi object decision making is studied A multi object nonlinear integer programming model is established which minimizes the delay and loss rate constrained by...
1) Nonlinear integer programming 非线性整数规划1. A nonlinear integer programming model of optimized missile allocation is presented. 建立了导弹火力优化分配的非线性整数规划模型,并给出了模型的自适应遗传算法求解,改进的遗传操作算子较好地处理了模型的整数约束条件,直观明了,简单易行。
一种特殊形式的数学规划模型,即目标函数和约束条件是待求变量的线性函数、线性等式或线性不等式的数学规划模型。它可用于解决各种领域内的极值问题。它所描述的典型问题是怎样以最优的方式在各项活动中间分配有限资源的问题。 任何一个线性规划问题可以按下列方式表述:假设有м项有限的资源要在n项活动中间进行分配。给...
Power generation expansion planning with emission control: a nonlinear model and a GA‐based heuristic approachPractical, Theoretical or Mathematical/ genetic algorithmsinteger programmingnonlinear programmingpollution controlpower generation planningthermal power stations/ power generation expansion planning...