Hybrid Costing merupakan penggabungan antara Job order costing dengan Process Costing. Makalah ini sebagai tugas Seminar Akuntansi ManajemenDeskripsi lengkap
a personal short review of the building
Deskripsi lengkap
topologi jaringan hybridFull description
Resume Chapter - Hybrid FinancialFull description
hybrid system
Hybrid Costing merupakan penggabungan antara Job order costing dengan Process Costing. Makalah ini sebagai tugas Seminar Akuntansi Manajemen
topologi jaringan hybridFull description
Full description
Siti Nur Amalina binti Zakaria (2016343311) CS2435B
TUTORIAL (Hybrid Evolutionary Algorithms)
1. Find ONE (1) example of hybrid EA that was applied in a real world problem, i.e from youtube, State which part of algorithm it is hybridized. Hybrid algorithm based on Genetic Algorithms and Neural Network is used for breast cancer detection and recurrence. A multi ‐layer perceptron (MLP) has been designed for this purpose, using a GA routine to set weights and a Java implementation model has been made in this hybrid.
2. Find ONE (1) journal article that applied hybrid evolutionary evolutionar y algorithm with another evolutionary algorithm in any type of problem. List the algorithms and discuss the advantages and disadvantages of having hybridization from this article. (Kao, Y., Chen, M. H., & Huang, Y. T. (2012). A hybrid algorithm based on ACO and PSO for capacitated vehicle routing problems. Mathematical Problems in Engineering, 2012.) The Vehicle Routing Problem (VRP) is a well-known combinatorial optimization problem and it concerns the service of a delivery company. Many researches have been done in finding the effective vehicle routes because it is an important issue of logistic management. To solve this problem, pro blem, a hybrid algorithm, PACO, which takes advantage of ant colony optimization and particle swarm optimization is proposed
in this paper for capacitated vehicle problems. During the searching process, artificial ants construct solution routes, memorize the best solution ever found and lay pheromone on the routes of swarm and personal best solutions. T he advantage of having hybridization is PACO can prevent artificial ants from being trapped in local optima and to increase the probability of obtaining better solutions. PACO performs pheromone disturbance and short-term memory resetting operations to adjust stagnated pheromone trails. The disadvantage of having this hybrid algorithm is it shows that pheromone disturbance can improve solutions but does not increase much computational time.
3. What is a hybrid EA? Give an example. Hybrid EA is used to optimize the performance of the direct evolutionary approach. It can handle several real world problems involving complexity, noisy environment, imprecision, uncertainty, and vagueness. Example of hybrid EA is hybridization between an evolutionary algorithm and another evolutionary algorithm such as a genetic programming technique is used to improve the performance of a genetic algorithm.
4. Does local search play an important role in solving knapsack problem? Yes, local search can help in achieving high search ability without increasing its algorithmic complexity.
5. What is memetic algorithm? Do you think memetic algorithm can help in finding an optimal solution or just near optimal solution? Discuss the answer.
A memetic algorithm is an extension of the traditional genetic algorithm. It uses a local search technique to reduce the likelihood of the premature convergence. Memetic Algorithms (MA) have been shown to be very effective in finding nearoptimum solutions to hard combinatorial optimization problems. MA are well-suited for finding near-optimum tours for the TSP.
6. Discuss the drawbacks of employing local search. The disadvantages of local search algorithms are they cannot prove optimality, cannot provably reduce the search space, do not have well defined stopping criteria and often have problems with highly constrained problems where feasible areas of the solution space are disconnected.
