Due to the curse of dimensionality of search space, it is extremely difficult for evolutionary algorithms to approximate the optimal solutions of large-scale multiobjective optimization problems (LMOPs) by using a limited budget of evaluations. If the Pareto-optimal subspace is approximated during the...
Within this category, we may consider two divisions of optimization problems. The first branch is called “integer programming,” where the discrete set of the feasible solutions is a subset of integers. This class of models is mostly common as many real-life applications are modeled with ...
Set optimization problems with objective set-valued maps are considered, and some criteria of solutions are defined. Also, cone lower semicontinuities of s... Daishi,Kuroiwa - 《Nonlinear Analysis》 被引量: 177发表: 2001年 Variational principles for set-valued mappings with applications to multiobj...
Combinatorial optimization (CO) problems are an important class of problems where the number of possible solutions grows combinatorially with the problem size. These kinds of problems have attracted the attention of researchers in computer sciences, operational research, and artificial intelligence. The fu...
Mebarki, N., A. Dussauchoy and H. Pierreval, 1998. On the comparison of solutions in stochastic simulation-optimization problems with several performance measures. Int. Trans. Operat. Res., 5: 137-145. DOI: 10.1111/j.1475- 3995.1998.tb00109.x...
First, solve problems with a smaller number of independent variables. Use solutions from these simpler problems as starting points for more complicated problems by using an appropriate mapping. Also, you can sometimes speed the solution by using simpler objective functions and less stringent stopping ...
Optimization is a process that finds the “best” possible solutions from a set of feasible solutions(在可行解中寻找最优解的过程) Meaning of "best" can vary("最优"的定义是多样的) Definition: what is an optimization problem A mathematical problem of finding the best possible solution from a ...
Models in marketing with asymmetric reference effects lead to nonsmooth optimization problems and differential games which cannot be solved using standard methods. In this study, we introduce a new method for calculating explicitly optimal strategies, open-loop equilibria, and closed-loop equilibria of ...
It even discovered new best-ever solutions to four problems. The first-generation AIM computer, built last year, solves QUMO optimization problems that are represented with an accuracy of up to 7 bits. The team, shown in Figure 3, has also shown good quan...
An optimization problem can be generally defined as finding the best solution to a mathematical problem from all feasible solutions. The methods used in optimization vary depending on the type of problem and the variables involved. Optimization problems with discrete variables are known as combinatorial...