… a definition of an optimization problem general enough to … ” and have enough information to
obtain a solution; a problem is a … For example, in Figure A-8, we show a legitimate flow for N; …

… of the optimization function [8] . The obtained results have … attention to combinatorial
optimization problems with single … as “tricks” to gather information about the Markov process …

… information on their similarities and di erences) are well suitable for scaling up the … For
the former, we just extend the problem instance given in the example, from 8 to 20 … Page 8 …

… The present paper is intended to review the existing literature on multi‐objective combinatorial
optimization (MOCO) problems. Various classical combinatorial problems are examined …

… to solve combinatorial optimization problems. Some of these … metaheuristic algorithms for
combinatorial optimization. We … mean that the algorithms exchange information, but are not …

… this technique to combinatorial optimization problems. There has … Thus, the genetic information
within an infeasible string … generated problems, for each of which we carried out 8 runs of …

… defined and measured for various optimization problems. We provide a comprehensive …
combinatorial optimization problems: assignment, traveling salesman, and knapsack problems…

… Many traditional algorithms for solving combinatorial optimization problems involve using …
States represent some information about the problem such as the given graph or the current …

… t With the term 'adaptive' we indicate the capacity of the system to use feedback information
… use a non-deterministic accepting rule for non-improving exchanges, 8. use information on …

In recent years, there has been a growing research interest in integrating machine learning
techniques into meta-heuristics for solving combinatorial optimization problems. This …