Adventures in the Anthropocene: A Journey to the Heart of - download pdf or read online

By Gaia Vince

ISBN-10: 157131928X

ISBN-13: 9781571319289

We know our planet is in quandary, and that it truly is principally our fault. yet all too frequently the total photo of switch is obstructed by way of dense info units and specific catastrophes. being affected by this obscurity in her function as an editor at Nature, Gaia Vince made up our minds to trip the realm and notice for herself what lifestyles is absolutely like for individuals at the frontline of this new truth. What she came upon was once a host humans doing the main awesome things.

During her trip she unearths a guy who's making synthetic glaciers in Nepal in addition to anyone who's portray mountains white to draw blizzard; take the electrified reefs of the Maldives; or the fellow who's making islands out of garbage within the Caribbean. those are traditional people who find themselves fixing serious crises in loopy, inventive, potent methods. whereas Vince doesn't mince phrases in regards to the difficult place our species is in, those fabulous tales, mixed with the recent technology that underpins Gaia's services and examine, make for a persuasive, illuminating — and unusually hopeful — learn on what the Anthropocene capability for our destiny.

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Additional info for Adventures in the Anthropocene: A Journey to the Heart of the Planet We Made

Sample text

The results show that MOEA/D initialised using solutions from previously solved problems has the potential, on some instances, to reduce the number of evaluations required to produce a reasonable approximation of the Pareto optimal front. For example, the reduction in the number of evaluations can be graphically seen in Figure 4 (a) where the memory-based MOEA/D (shown in dashed) is compared with a randomly initialised MOEA/D (shown in black). The reason for this earlier reduction in IGD value can be seen by comparing the solutions extracted from the memory at the start of the optimisation.

In this paper, we further explore multi-objective optimisation algorithms for route-planning of manned and unmanned vehicles in a hostile and unstructured environment, and focus on the question of accelerating the process by exploiting prior information. A. Coello Coello et al. ): PPSN 2012, Part II, LNCS 7492, pp. 11–21, 2012. c Springer-Verlag Berlin Heidelberg 2012 12 A. W. Corne viable route plan within seconds of the decision being made to start to move the vehicle to a given new location.

In: Proc. GECCO 2009. ACM Press (2009) 9. : Memory enhanced evolutionary algorithms for changing optimization problems. In: Proc. CEC 2009, pp. 1875–1882 (1999) 10. : Effects of experience bias when seeding with prior results. In: Proc. CEC 2005, vol. 3, pp. 2730–2737 (2005) 11. : Multiobjective a* search with consistent heuristics. J. ACM 57 (2010) 12. : Efficient constrained path planning via search in state lattices. In: The 8th International Symposium on Artificial Intelligence, Robotics and Automation in Space (2005) 13.

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Adventures in the Anthropocene: A Journey to the Heart of the Planet We Made by Gaia Vince


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