Search Results - subject:"Pareto Front"

Combining discrete and continuous information for multi-criteria optimization problems

Teichert, Katrin; Seidel, Tobias; Süss, Philipp - In: Mathematical Methods of Operations Research 100 (2024) 1, pp. 153-173

In multi-criteria optimization problems that originate from real-world decision making tasks, we often find the following structure: There is an underlying continuous, possibly even convex model for the multiple outcome measures depending on the design variables, but these outcomes are...

Persistent link: https://www.econbiz.de/10015358409

The biobjective minimum-cost perfect matching problem and Chinese postman problem

Pozo, Miguel A.; Puerto, Justo; Roldán, Ignacio - In: International transactions in operational research : a … 31 (2024) 5, pp. 2988-3009

Persistent link: https://www.econbiz.de/10014533497

Metaheuristics for the bi-objective resource-constrained project scheduling problem with time-dependent resource costs : An experimental comparison

Rodríguez-Ballesteros, Sofía; Alcaraz, Javier; … - In: Computers & operations research : an international journal 163 (2024), pp. 1-19

Persistent link: https://www.econbiz.de/10014560647

Pareto-optimal front generation for the bi-objective JIT scheduling problems with a piecewise linear trade-off between objectives

Babu, Sona; Girish, B. S. - In: Operations research perspectives 12 (2024), pp. 1-15

This paper proposes a novel method of Pareto front generation from a set of piecewise linear trade-off curves typically … generate the trade-off curve between TWET and TFT for a given sequence of jobs. The proposed method of Pareto front generation … efficiency of the proposed OTA and the Pareto front generation method over the state-of-the-art methodologies adopted from the …

Persistent link: https://www.econbiz.de/10015055631

Combining discrete and continuous information for multi-criteria optimization problems

Teichert, Katrin; Seidel, Tobias; Süss, Philipp - In: Mathematical methods of operations research : ZOR 100 (2024) 1, pp. 153-173

Persistent link: https://www.econbiz.de/10015126895

A multi-objective thermal exchange optimization model for solving optimal power flow problems in hybrid power systems

Agrawal, Sunilkumar; Pandya, Sundaram; Jangir, Pradeep; … - In: Decision analytics journal 8 (2023), pp. 1-18

This study addresses the challenges associated with optimal power flow (OPF) management in hybrid power systems incorporating diverse energy sources, particularly focusing on the unpredictability of renewable energy sources (RESs). A novel analytics approach is introduced using Multi-Objective...

Persistent link: https://www.econbiz.de/10014517336

Fixed set search applied to the multi-objective minimum weighted vertex cover problem

Jovanovic, Raka; Sanfilippo, Antonio P.; Voß, Stefan - In: Journal of Heuristics 28 (2022) 4, pp. 481-508

for finding Pareto Front approximations. This adaptation is illustrated for the bi-objective Minimum Weighted Vertex Cover …

Persistent link: https://www.econbiz.de/10015327426

Application of MOMSA algorithm for optimal operation of Karun multi objective multi reservoir dams with the aim of increasing the energy generation

Sharifi, Mohammad Reza; Akbarifard, Saeid; Madadi, … - In: Energy strategy reviews 42 (2022), pp. 1-13

Multi-reservoir system operation is a challenging and complex task, because of the curse of uncertainties, nonlinearities, dimensionalities and conflicts among the various contradictory objectives. Contemporaneous optimization of such competing objectives needs improving the capability of...

Persistent link: https://www.econbiz.de/10014512478

Development of a multi-objectives integer programming model for allocation of anti-fraud capacities during cyberfraud mitigation

Akinbowale, Oluwatoyin Esther; Klingelhöfer, Heinz Eckart - In: Journal of Financial Crime 30 (2022) 6, pp. 1720-1735

optimised simultaneously. The Pareto front for the two objectives of the MOIP model comprises the set of optimal solutions …

Persistent link: https://www.econbiz.de/10014866670

Optimization techniques for crisp and fuzzy multi-objective static inventory model with Pareto front

Sahoo, Anuradha; Panda, Minakshi - In: Opsearch : journal of the Operational Research Society … 61 (2024) 4, pp. 2242-2284

Persistent link: https://www.econbiz.de/10015127352