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An elitism based multi-objective artificial bee colony algorithm

Xiang, Yi; Zhou, Yuren; Liu, Hailin - In: European Journal of Operational Research 245 (2015) 1, pp. 168-193

In this paper, we suggest a new multi-objective artificial bee colony (ABC) algorithm by introducing an elitism … strategy. The algorithm uses a fixed-size archive that is maintained based on crowding-distance to store non …-dominated solutions found during the search process. In the proposed algorithm, an improved artificial bee colony algorithm with an …

Persistent link: https://www.econbiz.de/10011264316

Artificial bee colony algorithm for constrained possibilistic portfolio optimization problem

Chen, Wei - In: Physica A: Statistical Mechanics and its Applications 429 (2015) C, pp. 125-139

, a modified artificial bee colony (MABC) algorithm is developed to solve the corresponding optimization problem. Finally …, a numerical example is given to illustrate the effectiveness of the proposed model and the corresponding algorithm. …

Persistent link: https://www.econbiz.de/10011264538

Variable neighbourhood structures for cycle location problems

Lamb, John D. - In: European Journal of Operational Research 223 (2012) 1, pp. 15-26

Variable neighbourhood search is a metaheuristic used mainly to tackle combinatorial optimization problems. Its performance depends on having a good variable neighbourhood structure: that is, a sequence of neighbourhoods that are ideally pairwise disjoint and contain feasible solutions further...

Persistent link: https://www.econbiz.de/10010597687

A stochastic profit-maximising economic lot scheduling problem with price optimisation

Salvietti, Luciano; Smith, Neale R.; Cárdenas-Barrón, … - In: European Journal of Industrial Engineering 8 (2014) 2, pp. 193-221

A stochastic version of the economic lot sizing problem with pricing is presented. The control variables of the stochastic problem are the production quantities and cycle lengths for each product. The recourse variables are the sales prices and the external purchase quantities in each production...

Persistent link: https://www.econbiz.de/10011130258

Metaheuristics for solving economic lot scheduling problems (ELSP) using time-varying lot-sizes approach

Chandrasekaran, C.; Rajendran, Chandrasekharan; Chetty, … - In: European Journal of Industrial Engineering 1 (2007) 2, pp. 152-181

. Three metaheuristics, namely, a Genetic Algorithm (GA), a Simulated-annealing Algorithm (SA) and an Ant-Colony Algorithm … subject to certain conditions presented in this work. The best-performing existing heuristic algorithm and the proposed … the case of sequence-dependent setup times and the associated setup costs. The performances of the existing algorithm and …

Persistent link: https://www.econbiz.de/10005754458

Feasibility of Scheduling Lot Sizes of Three Products on One Machine

Glass, Celia A. - In: Management Science 38 (1992) 10, pp. 1482-1494

This paper considers the Economic Lot Scheduling Problem: that is, the problem of finding a feasible schedule that allows cyclic production of several products on a single facility so as to minimize holding and set up costs. We consider the case when three products are required to be produced in...

Persistent link: https://www.econbiz.de/10009204067

Metaheuristics for solving economic lot scheduling problems (ELSP) using time-varying lot-sizes approach

Chandrasekaran, C.; Rajendran, Chandrasekharan; Chetty, … - In: European Journal of Industrial Engineering 1 (2007) 2, pp. 152-181

Persistent link: https://www.econbiz.de/10008563645

Uncertain multiobjective traveling salesman problem

Wang, Zutong; Guo, Jiansheng; Zheng, Mingfa; Wang, Ying - In: European Journal of Operational Research 241 (2015) 2, pp. 478-489

proposed in this paper on the basis of uncertainty theory, and a new solution approach named uncertain approach is applied to … obtain Pareto efficient route in UMTSP. Considering the uncertain and combinatorial nature of UMTSP, a new ABC algorithm …

Persistent link: https://www.econbiz.de/10011077617

An Improved Artificial Bee Colony Algorithm and Its Application to Multi-Objective Optimal Power Flow

He, Xuanhu; Wang, Wei; Jiang, Jiuchun; Xu, Lijie - In: Energies 8 (2015) 4, pp. 2412-2437

-maximizing method. The improved artificial bee colony (IABC) algorithm is applied to solve the model. In the IABC algorithm, the … mutation and crossover operations of a differential evolution algorithm are utilized to generate new solutions to improve …, which demonstrates the effectiveness and superiority of the IABC algorithm, and how the optimal scheme obtained by the …

Persistent link: https://www.econbiz.de/10011212340

Synchronous and asynchronous Pareto-based multi-objective Artificial Bee Colony algorithms

Akay, Bahriye - In: Journal of Global Optimization 57 (2013) 2, pp. 415-445

algorithm to the values of the control parameters. The results of S-MOABC/NS were compared to some state-of-the art algorithms …

Persistent link: https://www.econbiz.de/10010845868