- This paper addresses the problem of maximizing capacity utilization of the battery power source in a portable electronic system under latency and loss rate constraints. First, a ...
In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. However, most...
Besides search, complete inference methods can also be used to solve soft constraint problems. Their main drawback is the high spatial complexity. To improve its practical usage, w...
Many important combinatorial optimization problems can be expressed as constraint satisfaction problems with soft constraints. When problems are too difficult to be solved exactly,...
The two most popular backtrack algorithms for solving Constraint Satisfaction Problems (CSPs) are Forward Checking (FC) and Maintaining Arc Consistency (MAC). MAC maintains full ar...