Optimizing agents with genetic programming: an evaluation of hyper-heuristics in dynamic real-time logistics

Optimizing the Initialization of Dynamic Decision Heuristics in DPLL SAT Solvers Using Genetic Programming

Genetic Programming Based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches

Job shop scheduling (JSS) problems are optimisation problems that have been studied extensively due to their computational complexity and application in manufacturing systems. This paper focuses on a dynamic JSS problem to minimise the total weighted tardiness. In dynamic JSS, jobs’ attributes are only revealed after they arrive at the shop floor. Dispatching rule heuristics are prominent appro...

Reactive Real-Time Programming with Distributed Agents

The proposed reactive real{time programming system is a new approach to implement complex distributed heterogeneous real-time applications. It is based on the notion of distributed multi{agent systems. The whole control task is decomposed top down into small execution units, called agents which communicate by sending and executing contracts and are speciied in a hardware independent language ba...

evaluation of fat atrophy in patients with dermis fat graft of orbit by ct-scan

چکیده ندارد.

An Investigation of Selection Hyper-heuristics in Dynamic Environments

Hyper-heuristics are high level methodologies that perform search over the space of heuristics rather than solutions for solving computationally difficult problems. A selection hyper-heuristic framework provides means to exploit the strength of multiple low level heuristics where each heuristic can be useful at different stages of the search. In this study, the behavior of a range of selection ...