Toward an Ecological Bioethics

Peer commentary on: Blumenthal-Barby, J. S. (2016). Biases and heuristics in decision making and their impact on autonomy. The American Journal of Bioethics, 16(5), 5-15

Optimal investment: bounds and heuristics

This is the author accepted manuscript. The final version is available from Incisive Financial Publishing via http://www.risk.net/journal-of-computational-finance/technical-paper/2432431/optimal-investment-bounds-and-heuristicsHigh-dimensional optimal investment/consumption problems are hard to deal with, not least because of the difficulty in characterizing the value function. This paper tries to offer ways to determine an approximately optimal policy, and to estimate its performance using duality methods. Though the value function is required as a concept in developing the theory, it plays no part in the computation, nor is it necessary to have global knowledge of the policy; it is enough to determine the policy along the realized sample path

Two novel evolutionary formulations of the graph coloring problem

We introduce two novel evolutionary formulations of the problem of coloring the nodes of a graph. The first formulation is based on the relationship that exists between a graph's chromatic number and its acyclic orientations. It views such orientations as individuals and evolves them with the aid of evolutionary operators that are very heavily based on the structure of the graph and its acyclic orientations. The second formulation, unlike the first one, does not tackle one graph at a time, but rather aims at evolving a `program' to color all graphs belonging to a class whose members all have the same number of nodes and other common attributes. The heuristics that result from these formulations have been tested on some of the Second DIMACS Implementation Challenge benchmark graphs, and have been found to be competitive when compared to the several other heuristics that have also been tested on those graphs.Comment: To appear in Journal of Combinatorial Optimizatio