Evolutionary multiobjective optimization usually attempts to find a good approximation to the
complete Pareto optimal front. However, often the user has at least a vague idea about what …

Evolutionary techniques for multi-objective (MO) optimization are currently gainingsignificant
attention from researchers invarious fields due to their effectiveness androbustness in …

Multiobjective Evolutionary Algorithms and Applications provides comprehensive treatment
on the design of multiobjective evolutionary algorithms and their applications in domains …

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

Optimal utilization of resources in present-day communication networks is a challenging
task. Routing plays an important role in achieving optimal resource utilization. The open …

multi-skilled project scheduling problem (MSPSP) has been generally presented to
schedule a project with staff members as resources. Each activity in project network requires …

The paper presents a fuzzy simulated evolution algorithm for the public transport driver
scheduling problem, which involves solving a set covering model. The novel scheduling …

The advent of e-commerce has prompted many manufacturers to redesign their traditional
channel structure by engaging in direct sales. In this paper, we present a dual channel …

VLSI standard-cell placement is an NP-hard problem to which various heuristics have been
applied. In this work, tabu search placement algorithm is parallelized on a network of …

It has been shown that across-wafer CD (critical dimension) uniformity can be improved by
compensating for systematic CD variations through the litho-etch sequence by tuning the …