This study aims to deal with a more realistic combined problem of project scheduling and material ordering. The goal is to minimize the total material holding and ordering costs by determining the starting time of activities along with material ordering schedules subject to some constraints. The problem is first mathematically modelled. Then a hybrid simulated annealing and genetic algorithm is...

Dear Dr Duever, I am submitting this document, entitled " Global Optimization of General Failure Surfaces in Slope Analysis by Hybrid Simulated Annealing " as my 2B Work Report for Rocscience, Inc. My project investigated the efficiency of a hybrid simulated annealing (HSA) method for finding the minima (critical failure surfaces and factors of safety) of slope stability equations. The HSA comb...

This paper investigates the permutation flowshop scheduling problem (PFSP) with the objectives of minimizing the makespan and the total flowtime and proposes a hybrid metaheuristic based on the particle swarm optimization (PSO). To enhance the exploration ability of the hybrid metaheuristic, a simulated annealing hybrid with a stochastic variable neighborhood search is incorporated. To improve ...

In this paper, we present a hybrid method that combines simulated annealing with pattern search based on the derivative information. In this method, when the object function is differentiable, we take the speed descent direction as the searching direction. This can dramatically decreases the work of the POLL step. The experiments shows that this hybrid method is efficient. Mathematics Subject C...

Given a heuristic estimate of the relative safety of a hybrid dynamical system trajectory, we transform the initial safety problem for dynamical systems into a global optimization problem. We compare untuned performance of several Simulated Annealing and Multi Level Single Linkage method variants, and discuss the dynamic use of knowledge gained during optimization.

In this paper a hybrid algorithm to solve Irregular Strip Packing problems is presented. The metaheuristic simulated annealing is used to guide the search over the solution space while linear programming models are solved to generate neighbourhoods during the search process. These linear programming models, which are used to locally optimise the layouts, derive from the application of compactio...

The fuzzy completion time and customer request are two main uncertain factors in the process of the actual workshop production. The scheduling model under uncertain situation based on fuzzy mathematics is established in this paper. The average customer satisfaction acts as the objective of the model. Next, a novel hybrid algorithm is obtained through improving the mutation operation of genetic ...

In this paper, we give a new approach of hybrid direct search methods with metaheuristics of simulated annealing for finding a global minimum of a nonlinear function with continuous variables. First, we suggest a Simple Direct Search (SDS) method, which comes from some ideas of other well known direct search methods. Since our goal is to find global minima and the SDS method is still a local se...

The intelligent water drop algorithm is a swarm-based metaheuristic algorithm, inspired by the characteristics of water drops in the river and the environmental changes resulting from the action of the flowing river. Since its appearance as an alternative stochastic optimization method, the algorithm has found applications in solving a wide range of combinatorial and functional optimization pro...

This paper proposes a new hybrid approach which combines simulated annealing and standard backpropagation for optimizing Multi Layer Perceptron Neural Networks for time series prediction. Experimental results have shown that this approach selects the appropriate time series lags and builds an MLP with adequate number of hidden neurons required for achieving good performance on the task. The per...