In the last 20 years, evolutionary algorithms (EAs) have shown to be an effective method to
solve multiobjective optimization problems (MOPs). Due to their population-based nature …

Multi-agent systems is a subfield of Distributed Artificial Intelligence that has experienced
rapid growth because of the flexibility and the intelligence available solve distributed …

The research presented in this paper aims at egg fertility detection during incubation based
on the presence of the embryo. To obtain an optimal detection method that does not …

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

Intelligent traffic control systems optimized using meta-heuristic algorithms can greatly
alleviate traffic congestions in urban areas. Meta-heuristics are broadly used as efficient …

The paper presents the Bairon system that supports the automatic generation of poetry. The
proposed system allows generating a poem in the literary style of the selected writer using …

Co-evolutionary techniques for evolutionary algorithms can enhance the adaptive
capabilities of evolutionary algorithms and help maintain population diversity. In this chapter …

In this paper, the evolutionary algorithm for the optimization of Forex market trading
strategies is proposed. The introduction to issues related to the financial markets and the …

Return on Equity (ROE) is an important factor from the perspective of formulating and
implementing a company's financial strategies. It is also one of its evaluation criteria. It …

Agent-based models are powerful tools for understanding complex systems. Their accuracy
and capacity for prediction, however, are dependent on the initial conditions of the model …