In this paper, heuristic algorithms such as simulated annealing (SA), genetic algorithm (GA) and hybrid algorithm (hybrid-GASA) were applied to tool-path optimization problem for minimizing airtime during machining. Many forms of SA rely on random starting points that often give poor solutions. The problem of how to efficiently provide good initial estimates of solution sets automatically is st...

In multiagent environments, the capability of learning is important for an agent to behave appropriately in face of unknown opponents and dynamic environment. From the system designer’s perspective, it is desirable if the agents can learn to coordinate towards socially optimal outcomes, while also avoiding being exploited by selfish opponents. To this end, we propose a novel gradient ascent bas...

Sometimes, it is difficult to cope with a good set of values for the parameters of an algorithm that solves an specific optimization problem. This work presents a methodology for fine-tuning the parameters of a Simulated Annealing (SA) algorithm solving the Bridge Club (BC) problem. The methodology uses Covering Arrays as a tool that evaluates a set of values for the parameters of the SA so tha...

In this paper, an improved floorplanning algorithm, named the floorplanning algorithm based on particle swarm optimization algorithm nesting simulated annealing to optimize the floorplans (PSO-SA-NoC), has been proposed with simulations conducted to verify this algorithm. The simulation results are compared with the original Simulated Annealing-NoC. The results show that the CPU’s process time ...

To improve inferences about psychological and social evidence contained in pictures and texts, a five-step algorithm-Systematic Analysis (SA)-was devised. It combines basic principles of interpretation in forensic science, providing a comprehensive record of signs of evidence. Criminal justice professionals evaluated the usefulness of SA. Effects of applying SA were tested experimentally with 4...

Heat exchanger network (HEN) synthesis has been a well-studied subject over the latest decades. Many studies and methodologies were proposed to make possible the energy recovery. Based on simulated annealing and genetic algorithm, this paper presents an efficient simultaneous synthesis method that provides the optimal networks in a twolevel procedure. Genetic algorithm is used by an evolutionar...

This paper introduces a hybridization of Backtracking Search Optimization Algorithm (BSA) with Differential Evolution (DE) and Simulated Annealing (SA) in order to improve the convergence speed of BSA. An experimental study, conducted on 20 benchmark problems, shows that this approach outperforms BSA and two other hybridizations [4, 18], in terms of solution quality and convergence speed. We al...

This paper aims to investigate the integrated production/distribution and inventory planning for perishable products with fixed life time in the constant condition of storage throughout a two-echelon supply chain by integrating producers and distributors. This problem arises from real environment in which multi-plant with multi-function lines produce multi-perishable products with fixed life ti...

HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt età la diffusion de documents scientifiques de niveau r...

To get better and flexible performance, region-based image coding has been studied widely in the last few years. In region-based image coding, the whole image can be divided into two parts: region-of-interest (ROI) and background area. ROI is coded in low compression ratio, while background area is coded in high compression ratio. In this paper, shape-adaptive DCT (SA-DCT) for coding arbitraril...