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International Journal of Metaheuristics, Volume 7
Volume 7, Number 1, 2018
- Oussama Aoun
, Malek Sarhani, Abdellatif El Afia:
Particle swarm optimisation with population size and acceleration coefficients adaptation using hidden Markov model state classification. 1-29 - Daniela Cristina Lubke, Vinicius Layter Xavier, Helder Manoel Venceslau, Adilson Elias Xavier:
Flying elephants method applied to the problem of covering solid bodies with spheres. 30-42 - Gustavo Mendes Platt, Lucas Venancio Pires De Carvalho Lima:
Azeotropy in a refrigerant system: a useful scenario to test and compare metaheuristics. 43-66 - Heba F. Eid:
Binary whale optimisation: an effective swarm algorithm for feature selection. 67-79 - Abdullah Alsheddy:
A two-phase local search algorithm for the ordered clustered travelling salesman problem. 80-92
Volume 7, Number 2, 2019
- Weiqi Li, Xue Li:
Solution attractor of local search in travelling salesman problem (part 2): computational study. 93-126 - Raymond R. Hill, Edward A. Pohl:
A structural taxonomy for metaheuristic optimisation search methods. 127-151 - Derek H. Smith
Solving the maximum clique problem with a hybrid algorithm. 152-175 - Sonia Khatrouch, Safa Bhar Layeb
Bio-inspired metaheuristics for the generalised discrete cost multicommodity network design problem. 176-196
Volume 7, Number 3, 2020
- Marieme Diallo, Alejandro Quintero, Samuel Pierre:
A Tabu search approach for a virtual networks splitting strategy across multiple cloud providers. 197-238 - Hugo Deschênes, Caroline Gagné:
Solving high dimensional multimodal continuous optimisation problems using hybridisation between particle swarm optimisation variants. 239-264 - Geetanjali Singh, Nirmala Sharma, Harish Sharma:
Shuffled teaching learning-based algorithm for solving robot path planning problem. 265-283 - Lamiaa M. El Bakrawy
An adaptive optimisation algorithm based on modified whale optimisation algorithm and Laplace crossover. 284-305
Volume 7, Number 4, 2020
- Budi Santosa, Maria Krisnawati, Ahmad Rusdiansyah:
Solving crew rostering using metaheuristics, a case study in Indonesia. 307-329 - Dylan Gaspar, Yun Lu, Myung Soon Song
Simple population-based metaheuristics for the multiple demand multiple-choice multidimensional knapsack problem. 330-351 - Paulo Neis, Rhyd Lewis:
Evaluating the influence of parameter setup on the performance of heuristics for the graph colouring problem. 352-378 - Amaro de Sousa, Gabriela Gallo, Santiago Gutierrez, Franco Robledo, Pablo Rodríguez-Bocca, Pablo Romero:
A tree-block decomposition-based heuristic for the minimum broadcast time. 379-401
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