Optimising a train schedule on a single line track is known to be NP-Hard with respect to the number of conflicts in the schedule. This makes it difficult to determine optimum solutions to real life problems in reasonable time and raises the need for good heuristic techniques. The heuristics applied and compared in this paper are a local search heuristic with an improved neighbourhood structure...

Response surface methodology is a common tool in optimizing processes. It mainly concerns situations when there is only one response of interest. However, many designed experiments often involve simultaneous optimization of several quality characteristics. This is called a Multiresponse Surface Optimization problem. A common approach in dealing with these problems is to apply desirability funct...

Increasing interest has been devoted to Planning as Heuristic Search over the years. Intense research has focused on deriving accurate heuristics in polynomial computational time for domain-independent planning. This paper reports on an extensive survey and analysis of research work related to heuristic derivation techniques for state space search planning, as well as other planning paradigms. ...

The development of informative, admissible heuristics for cost-optimal planning remains a significant challenge in domain-independent planning research. Two techniques are commonly used to try to improve heuristic estimates. The first is disjunction: taking the maximum across several heuristic values. The second is the use of additive techniques, taking the sum of the heuristic values from a se...

The main problem for both the utility companies and end-used is to efficiently schedule home appliances using energy management optimize consumption. microgrid, macro grid, Smart Grid (SG) are state-of-the-art technology that user environment-friendly, reliable, flexible, controllable. Both end-users interested in effectively utilizing different heuristic optimization techniques address demand-...