Search Results - subject:"Multi-objective optimization problems"

A novel mixed Spider’s web initial solution and data envelopment analysis for solving multi-objective optimization problems

Ranjbar, Kourosh; Khaloozadeh, Hamid; Heydari, Aghileh - In: Central European journal of operations research 28 (2020) 1, pp. 193-208

Persistent link: https://www.econbiz.de/10012221880

Représentations discrètes de l'ensemble des points non dominés pour des problèmes d'optimisation multi-objectifs

Jamain, Florian - Université Paris-Dauphine (Paris IX) - 2014

The goal of this thesis is to propose new general methods to get around the intractability of multi-objective … producingsome discrete and tractable representations of the set of nondominated points for each instance of multi-objective … optimization problems.First, we try to give some insight on this intractability by determining an, easily computable, upper bound …

Persistent link: https://www.econbiz.de/10011074634

Progressive-Stepping-Based Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization

Baviskar, Akshay; Krishnapillai, Shankar - In: International Journal of Applied Evolutionary … 7 (2016) 3, pp. 17-49

numbers of generations, compared to a few existing algorithms, including NSGA-II and SPEA2 to solve multi-objective … optimization problems (MOP's). Two algorithms are proposed based on progressive stepping mechanism, which is obtained by the …

Persistent link: https://www.econbiz.de/10012042700

Ontologies to Lead Knowledge Intensive Evolutionary Algorithms: Principles and Case Study

Catania, Carlos Adrian; Zanni-Merk, Cecilia; Bertrand … - In: International Journal of Knowledge and Systems Science … 7 (2016) 1, pp. 78-100

Evolutionary Algorithms (EA) have proven to be very effective in optimizing intractable problems in many areas. However, real problems including specific constraints are often overlooked by the proposed generic models. The authors' goal here is to show how knowledge engineering techniques can be...

Persistent link: https://www.econbiz.de/10012046333

A survey on multi-objective evolutionary algorithms for many-objective problems

Lücken, Christian; Barán, Benjamín; Brizuela, Carlos - In: Computational Optimization and Applications 58 (2014) 3, pp. 707-756

Multi-objective evolutionary algorithms (MOEAs) are well-suited for solving several complex multi-objective problems with two or three objectives. However, as the number of conflicting objectives increases, the performance of most MOEAs is severely deteriorated. How to improve MOEAs’...

Persistent link: https://www.econbiz.de/10010998280

Box-constrained vector optimization: a steepest descent method without “a priori” scalarization

Enrico, Miglierina; Elena, Molho; Cristina, Recchioni Maria - Facoltà di Economia, Università degli Studi dell'Insubria - 2006

In this paper a notion of descent direction for a vector function defined on a box is introduced. This concept is based on an appropriate convex combination of the “projected” gradients of the components of the objective functions. The proposed approach does not involve an “apriori”...

Persistent link: https://www.econbiz.de/10005827375

Optimal design and operation of a wastewater purification system

Alvarez-Vázquez, Lino J.; Balsa-Canto, Eva; Martínez, … - In: Mathematics and Computers in Simulation (MATCOM) 79 (2008) 3, pp. 668-682

Due to the importance of coastal areas, is of the highest interest to implement purification systems that with minimum cost are able to assure water quality standards in agreement with the regional legislations. This work addresses the optimal design (outfall locations) and optimal operation...

Persistent link: https://www.econbiz.de/10011050784