Problems with multiple objectives arise in a natural fashion in most disciplines and their
solution has been a challenge to researchers for a long time. Despite the considerable …

In this work three genetic algorithms are presented for the permutation flowshop scheduling
problem with total tardiness minimisation criterion. The algorithms include advanced …

This paper addresses the hybrid flow shop batching and scheduling problem where
sequence-dependent family setup times are present and the objective is to simultaneously …

This paper addresses the hybrid flow shop batch scheduling problem with sequence-and
machine-dependent family setup times where the objective is to simultaneously minimize …

In recent years, the application of metaheuristic techniques to solve multi‐objective
optimization problems has become an active research area. Solving this kind of problems …

Over the last years, interest on hybrid metaheuristics has risen considerably in the field of
optimization. The best results found for many real-life or classical optimization problems are …

Purpose–The purpose of this paper is to present an operations research (OR) model for
planning water distribution tours in disaster relief. Especially in situations after a disaster …

Testing is crucial to ensure the quality of software systems-but testing is an expensive
process, so test managers try to minimise the set of tests to run to save computing resources …

List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …

The mixed capacitated general routing problem (MCGRP) is concerned with the
determination of the optimal vehicle routes to service a set of customers located at nodes …