a pso algorithm for constrained redundancy allocation in

ونحن نرحب ترحيبا حارا لكم في الاتصال بنا من خلال الخطوط الساخنة وغيرها من وسائل الاتصال الفورية.

Votingredundancy structure was adopted in a system to maximize the system reliability under the cost constraint. With the combination of the augmented Lagrangian multiplier method and the fish swarm algorithm, a hybrid method was employed to optimize and .

Recent Swarm and Evolutionary Computation Articles Elsevier

Recently published articles from Swarm and Evolutionary Computation. Recently published articles from Swarm and Evolutionary Computation. ... An improved particle swarm optimization algorithm for dynamic job shop scheduling problems with random job arrivals ... A hybrid enhanced bat algorithm for the generalized redundancy allocation problem ...

Algorithms | Free FullText | A Genetic Algorithm Using ...

The PSO algorithm is based on a simulation of social behavior and has been applied in various optimization problems . The DE algorithm employs the difference of parameter vectors to explore the objective function . The Genetic Algorithm, proposed by Holland in 1975, is an algorithmic model for solving optimization problems and is inspired by ...

Advances in Computer Science : an International Journal

Vehicular nodes can share the information on the move by forming a temporary network. Routing information shared between ...

Universiti Teknologi Malaysia Institutional Repository: No ...

The feature selection used by applying GA algorithm to reducing the redundant and irrelevant features. The performance of FMeasure shows that the hybrid NN_PSO, GA_NN and NN are %, % and % respectively. The results recommended using the hybrid of NN_PSO with GA algorithm for the best performance for spam email detection. Syed Mohd.

Universiti Teknologi Malaysia Institutional Repository: No ...

The feature selection used by applying GA algorithm to reducing the redundant and irrelevant features. The performance of FMeasure shows that the hybrid NN_PSO, GA_NN and NN are %, % and % respectively. The results recommended using the hybrid of NN_PSO with GA algorithm for the best performance for spam email detection. Syed Mohd.

Dynamic Evaluation Method of Machining Process Planning ...

2019 164 Computers and Electronics in Agriculture https://// db/journals/cea/#LiuHZPLW19 Wei Wang Lihuan Guo Rui Sun

Improved shuffled frog leaping algorithm on system ...

Jan 31, 2019· However, the objective functions and constraint conditions of system reliability are nonlinear. Thereby, a hybrid optimization method was proposed, based on the shuffled frog leaping algorithm and bacterial foraging algorithm, to solve the problem of system reliability and redundancy allocation.

Advances in Computer Science : an International Journal

This system is able to improve the standards of accuracy, retrieval and total efficiency. To achieve this goal, in this system, after texts preprocessing and feature extraction, a new improved method of feature selection based on Particle Swarm Optimization algorithm (PSO) is .

Ant colony optimization algorithms Wikipedia

In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs. Artificial Ants stand for multiagent methods inspired by the behavior of real ants. The pheromonebased communication of biological ants is often the predominant paradigm used.

Genetic algorithm for solving biobjective redundancy ...

: Genetic algorithm for solving biobjective redundancy allocation problem with koutofn subsystems Mehdi Keshavarz Ghorabaeea,⇑, Maghsoud Amiria, Parham Azimib aDepartment of Industrial Management, Management and Accounting Faculty, Allame Tabataba'i University, Tehran, Iran bDepartment of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University ...

Maximal Causality Reduction for TSO and PSO

Algorithm 2 shows the process for flushing the buffered stores under PSO (similar to the process for TSO). We use varId() to get the unique ID assigned to each variable by each thread, and the buffer Bj i corresponds to a variable belonging to thread iwith ID j. Algorithm 3 PSO replay algorithm Input: A seed interleaving S– schedule choices

IET Digital Library: Contingency constrained phasor ...

This study presents a novel approach for the contingency constrained phasor measurement units (PMUs) placement. The proposed approach is based on n − k redundancy criterion using robust optimisation. This security criterion ensures observability of the network under any contingency state, containing the loss of up to k PMUs. In the proposed method, the effects of zero injection and power ...

A Novel MultiObjective Artificial Bee Colony Algorithm ...

In this paper, an efficient multiobjective artificial bee colony optimization algorithm based on Pareto dominance called PC_MOABC is proposed to tackle the QoS based route optimization problem. The concepts of Pareto strength and crowding distance are introduced into this algorithm, and are combined together effectively to improve the algorithm's efficiency and generate a set of evenly ...

Improved Artificial Bee Colony Algorithm for Continuous ...

The artificial bee colony (ABC) algorithm is a swarmbased metaheuristic optimization technique, developed by inspiring foraging and dance behaviors of honey bee colonies. ABC consists of four phases named as initialization, employed bee, onlooker bee and scout bee. The employed bees try to improve their solution in employed bees phase. If an employed bee cannot improve selfsolution in a ...

Genetic Algorithms and Random Keys for Sequencing and ...

Genetic Algorithms and Random Keys for Sequencing and Optimization. James C. Bean; James C. Bean. Published Online: ... A modified particle swarm optimization algorithm for a batchprocessing machine scheduling problem with arbitrary release times and nonidentical job sizes ... Genetic Algorithms and Random Keys for Sequencing and Optimization ...

Research Article A Simple and Efficient Artificial Bee ...

A Simple and Efficient Artificial Bee Colony Algorithm YunfengXu, 1,2 PingFan, 3 andLingYuan 1 ... algorithm for constrained realparameter optimization, in ... the feasible region of the search space. Yeh and Hsieh [ ] proposed a penaltyguided ABC algorithm to solve reliability redundancy allocation problems. Sabat et al. [ ]

Expert Systems with Applications ISI Articles

been an active research field of the reliability optimization wherein the redundancy, the component reliability, or both are to be determined. In recent years, a broad class of stochastic metaheuristics, such as simulated annealing, genetic algorithm, tabu search, ant colony, and particle swarm optimization para