The selection of the initial population in a population-based heuristic optimizationmethod is
important, since it affects the search for several iterations and often has an influence on the …

Genetic algorithms are commonly used metaheuristics for global optimization, but there has
been very little research done on the generation of their initial population. In this paper, we …

In parallel with the growth of both domestic and international economies, there have been
substantial efforts in making manufacturing and service industries more environmental …

In this paper we present a new evolutionary method for complex-process optimization. It is
partially based on the principles of the scatter search methodology, but it makes use of …

We introduce a novel global optimization method called Continuous GRASP (C-GRASP)
which extends Feo and Resende's greedy randomized adaptive search procedure (GRASP) …

Scatter search is an evolutionary method that shares with genetic algorithms, a well-known
evolutionary approach, the employment of a combination method that combines the features …

Page 1 物流供应链 丛书 供应链不确定性管理: 技术与策略 Managing Supply Chain Uncertainty:
Techniques and Strategies 张涛孙林岩 Zhang Tao Sun Linyan 清华大学出版社 Page 2 Page …

We implemented five conversions of simulated annealing (SA) algorithm from sequential-to-
parallel forms on high-performance computers and applied them to a set of standard …

The paper addresses a random search optimization method for nonlinear problems with
continuous variables. The approach, called LJ-MM algorithm, deals with both unconstrained …

Several types of line search methods are documented in the literature and are well known
for unconstraint optimization problems. This paper proposes a modified line search method …