Quality assessment of pareto set approximations
This chapter reviews methods for the assessment and comparison of Pareto set
approximations. Existing set quality measures from the literature are critically evaluated …
approximations. Existing set quality measures from the literature are critically evaluated …
Ergonomic risk and cycle time minimization for the U-shaped worker assignment assembly line balancing problem: A multi-objective approach
Workers still perform the bulk of operations in the manufacturing industry. The consideration
of the assignment of workers and the reduction of ergonomic risks in U-shaped assembly …
of the assignment of workers and the reduction of ergonomic risks in U-shaped assembly …
A multi-objective co-evolutionary algorithm for energy and cost-oriented mixed-model assembly line balancing with multi-skilled workers
Energy-saving, one of the most significant strategies for green manufacturing, has become
the focus of more and more scholars and enterprise managers. Hence, this work addresses …
the focus of more and more scholars and enterprise managers. Hence, this work addresses …
A bi-objective heuristic approach for green identical parallel machine scheduling
Sustainability in manufacturing has become a fundamental topic in the scientific literature
due to the preeminent role of manufacturing industry in total world energy consumption and …
due to the preeminent role of manufacturing industry in total world energy consumption and …
[PDF][PDF] A concise overview of applications of ant colony optimization
Ant Colony Optimization (ACO)[1, 2, 3] is a metaheuristic for solving hard combinatorial
optimization problems inspired by the indirect communication of real ants. In ACO …
optimization problems inspired by the indirect communication of real ants. In ACO …
[图书][B] Exploratory analysis of stochastic local search algorithms in biobjective optimization
This chapter introduces two Perl programs that implement graphical tools for exploring the
performance of stochastic local search algorithms for biobjective optimization problems …
performance of stochastic local search algorithms for biobjective optimization problems …
Multi-objective co-operative co-evolutionary algorithm for minimizing carbon footprint and maximizing line efficiency in robotic assembly line systems
Methods for reducing the carbon footprint is receiving increasing attention from industry as
they work to create sustainable products. Assembly line systems are widely utilized to …
they work to create sustainable products. Assembly line systems are widely utilized to …
Restarted Iterated Pareto Greedy algorithm for multi-objective flowshop scheduling problems
G Minella, R Ruiz, M Ciavotta - Computers & Operations Research, 2011 - Elsevier
Multi-objective optimisation problems have seen a large impulse in the last decades. Many
new techniques for solving distinct variants of multi-objective problems have been proposed …
new techniques for solving distinct variants of multi-objective problems have been proposed …
[PDF][PDF] Ant Colony Optimization: A Component-Wise Overview.
The indirect communication and foraging behavior of certain species of ants has inspired a
number of optimization algorithms for NP-hard problems. These algorithms are nowadays …
number of optimization algorithms for NP-hard problems. These algorithms are nowadays …
Multi-objective sequence dependent setup times permutation flowshop: A new algorithm and a comprehensive study
M Ciavotta, G Minella, R Ruiz - European Journal of Operational Research, 2013 - Elsevier
The permutation flowshop scheduling problem has been thoroughly studied in recent
decades, both from single objective as well as from multi-objective perspectives. To the best …
decades, both from single objective as well as from multi-objective perspectives. To the best …