Many combinatorial problems are too difficult to be solved optimally, and hence heuristics are used to obtain "good" solutions in "reasonable" time.

Finding Improved Simulated Annealing. Schedules ... We present tvl an algorithm that uses genetic programming as a metn AI- gorithm for simulated annealing.

This thesis describes a hardware implementation of a complete Genetic Programming (GP) system using a Field Programmable Gate Array, which is shown to ...

We introduce two new algorithms for solving the Quadratic Assignment Problem that perform extremely well and outperform existing Simulated Annealing algorithms.

Finding improved simulated annealing schedules with genetic programming. Created by W.Langdon from gp-bibliography.bib Revision:1.7885.

In this paper presents a general purpose schedule optimiser for manufacturing shop scheduling using genetic algorithms and simulated annealing. Then, the ' ...

"Optimizing simulated annealing schedules with genetic programming," European Journal of Operational Research, Elsevier, vol. 92(2), pages 402-416, July. Handle ...

Jun 21, 2021 · The hybrid genetic SA algorithm uses a large number of samples as a possible solution to the problem rather than a single sample as a possible ...

Jun 18, 2013 · Considering genetic characteristics and processes, the ISA can more efficiently search the solution space starting with multiple initial ...

In this paper, an improved genetic-simulated annealing algorithm (IGAA), which combines genetic algorithm (GA) based on an encoding matrix with simulated ...