1. 多目标优化理论 合理优化目标,rea... ... ) Multiobjective optimization problem 多目标优化理论 ) multi-target optimal design 多目标综合优化 ... www.dictall.com|基于1 个网页 例句 释义: 全部,多目标优化理论 更多例句筛选 1. In this paper, we prove the existence of G-proper efficient soluti...
Multi Objective Optimization Problem: A type of problem where the objective is to find a solution x∗ = [x1∗, x2∗, …, xk∗] that minimizes a number of functions f(x∗) satisfying the p inequality constraints g(x∗) and q equality constraints h(x∗). Considering x is ...
The multiobjective optimization problem (also known as multiobjective programming problem) is a branch of mathematics used in multiple criteria decision-making, which deals with optimization problems involving two or more objective function to be optimized simultaneously. ...
1.A Framework for Multi-objective Optimization Problem Solving多目标优化问题的求解框架 2.In the mid-1980s, Evolutionary Algorithm was introduced to solve the Multi-objective Optimization Problem.在20世纪80年代中期,进化算法开始应用于解决多目标优化问题。 3.The multi-objective optimization problem based ...
In this chapter, the SMV trajectory optimization problem established in the previous chapter is reformulated and extended to a multi-objective continuous-time optimal control model. Because of the discontinuity or nonlinearity in the vehicle dynamics and mission objectives, it is challenging to generate...
We propose a numerical method to tackle this problem when the objective functions and the feasible set of the multi-objective optimization problem are convex. This algorithm penalizes progressively iterates that are not properly efficient and uses a sequence of convex nonlinear subproblems that can be...
aSolveing the multi-constraint and multi-objective optimization problem is known as multi-objective optimization problem. The mathematical model of multi-objective optimization problems can generally be described as: Solveing多限制和多客观优化问题通认作为多客观优化问题。 多客观优化问题数学模型可能一般被...
Many real-world engineering problems need to balance different objectives and can be formatted as multi-objective optimization problem. An effective multi-objective algorithm can achieve a set of optimal solutions that can make a tradeoff between different objectives, which is valuable to further explore...
Detailed descriptions of new algorithms for non-convex multi-objective optimization, their theoretical substantiation, and examples for practical applications to the cell formation problem in manufacturing engineering, the process design in chemical engineering, and business process management are included to ...
In the mid-1980s, Evolutionary Algorithm was introduced to solve the Multi-objective Optimization Problem. 在20世纪80年代中期,进化算法开始应用于解决多目标优化问题。 3. Themulti-objective optimization problembased on pareto is a important research direction of the evolutionary algorithm,and how to impr...