The computational effort for solving these problems is greatly reduced using the techniques in this dissertation. Finally, a host of numerical examples are presented to verify the approaches. Diverse applications to economics, operations research, and engineering design motivate the relevance of the ...
Some examples include the 1- optimal algorithms DBA [Yokoo and Hirayama, 1996] and DSA [Fitzpatrick and Meertens, 2003] for distributed con- straint satisfaction problems (DisCSPs), which were later ex- tended to DCOPs [Zhang et al., 2005a], as well as the 2- optimal algorithms in [...
2 Combinatorial optimization problems A CO problem is an optimization problem where the number of possible solutions is finite and grows combinatorially with the problem size. It aims to look for the perfect solution from a very huge solution space and allows an excellent usage of limited resources...
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 ...
We won’t describe all the possible problems and solutions for optimization in supply chain management. But we will empower you with a universal framework for finding your problems and deciding on an approach to solving them. An issue might lie deep in your processes. To dig it up, you’ll...
Evolutionary optimization algorithms work with a population of solutions, instead of a single solution. Since multi-objective optimization problems give ri... K Deb,T Goel,R Sarker,... - 《Evolutionary Optimization》 被引量: 76发表: 2003年 An efficient multiobjective differential evolution algorithm...
We introduce concepts for approximate minimal and nondominate solutions of vector optimization problems with variable ordering structure. We discuss basic ... Soleimani,Behnam - 《Aip Conference Proceedings》 被引量: 41发表: 2012年 Approximate solutions of vector optimization problem with variable orderin...
Numerical examples with high-dimensional optimization problems Table 5 Results of the first 13 benchmark functions with Dim = 1000. Full size table Performance comparison of algorithms. Full size image Wall-clock time analysis Table 6 Wall-clock time costs (second) on benchmarks of POA and...
The examples above illustrate simple optimization problems, designed to introduce the reader to optimization methods and their applications in DG. For larger and more realistic problems, with large numbers of variables and constraints, it becomes very difficult to calculate solutions manually. Hence compu...
In challenging optimization problems (nonlinear, nonconvex, etc.). Algorithms that use one solution or a set of solutions create the final class of metaheuristics. It is considered a single-solution algorithm if an algorithm starts, improves, and finishes with a single solution. If more than ...