| Pareto simulated annealing—a metaheuristic technique for multiple‐objective combinatorial optimization P Czyzżak, A Jaszkiewicz Journal of multi‐criteria decision analysis 7 (1), 34-47, 1998 | 1138 | 1998 |
| Genetic local search for multi-objective combinatorial optimization A Jaszkiewicz European journal of operational research 137 (1), 50-71, 2002 | 783 | 2002 |
| Evaluating the quality of approximations to the non-dominated set MP Hansen, A Jaszkiewicz IMM, Department of Mathematical Modelling, Technical Universityof Denmark, 1994 | 639 | 1994 |
| On the performance of multiple-objective genetic local search on the 0/1 knapsack problem-a comparative experiment A Jaszkiewicz IEEE transactions on evolutionary computation 6 (4), 402-412, 2002 | 603 | 2002 |
| The ‘Light Beam Search’approach–an overview of methodology applications A Jaszkiewicz, R Słowiński European Journal of Operational Research 113 (2), 300-314, 1999 | 244 | 1999 |
| Fuzzy project scheduling system for software development M Hapke, A Jaszkiewicz, R Slowinski Fuzzy sets and systems 67 (1), 101-117, 1994 | 222 | 1994 |
| Inżynieria oprogramowania A Jaszkiewicz Helion, 1997 | 168 | 1997 |
| Interactive analysis of multiple-criteria project scheduling problems M Hapke, A Jaszkiewicz, R Słowiński European Journal of Operational Research 107 (2), 315-324, 1998 | 151 | 1998 |
| On the computational efficiency of multiple objective metaheuristics. The knapsack problem case study A Jaszkiewicz European Journal of Operational Research 158 (2), 418-433, 2004 | 144 | 2004 |
| Multiple objective metaheuristic algorithms for combinatorial optimization A Jaszkiewicz Wydawn. Politechniki PoznaĘąnskiej, 2001 | 138 | 2001 |
| Do multiple-objective metaheuristics deliver on their promises? A computational experiment on the set-covering problem A Jaszkiewicz IEEE Transactions on Evolutionary Computation 7 (2), 133-143, 2003 | 130 | 2003 |
| A comparative study of multiple-objective metaheuristics on the bi-objective set covering problem and the Pareto memetic algorithm A Jaszkiewicz Annals of Operations Research 131 (1), 135-158, 2004 | 110 | 2004 |
| Pareto simulated annealing for fuzzy multi-objective combinatorial optimization M Hapke, A Jaszkiewicz, R Słowiński Journal of heuristics 6 (3), 329-345, 2000 | 98 | 2000 |
| Interactive multiobjective evolutionary algorithms A Jaszkiewicz, J Branke Multiobjective Optimization: Interactive and Evolutionary Approaches, 179-193, 2008 | 82 | 2008 |
| Speed-up techniques for solving large-scale biobjective TSP T Lust, A Jaszkiewicz Computers & Operations Research 37 (3), 521-533, 2010 | 79 | 2010 |
| A metaheuristic approach to multiple objective nurse scheduling A Jaszkiewicz Foundations of Computing and Decision Sciences 22 (3), 169-184, 1997 | 76 | 1997 |
| Comparison of local search-based metaheuristics on the multiple objective knapsack problem A Jaszkiewicz Foundations of Computing and Decision Sciences 26, 99-120, 2001 | 75 | 2001 |
| Genetic local search with distance preserving recombination operator for a vehicle routing problem A Jaszkiewicz, P Kominek European Journal of Operational Research 151 (2), 352-364, 2003 | 74 | 2003 |
| Evaluation of multiple objective metaheuristics A Jaszkiewicz Metaheuristics for multiobjective optimisation, 65-89, 2004 | 73 | 2004 |
| Improved quick hypervolume algorithm A Jaszkiewicz Computers & Operations Research 90, 72-83, 2018 | 58 | 2018 |
Roman SlowinskiPoznan University of TechnologyVerified email at cs.put.poznan.pl
