activity
20092014
most citedDegeneracy: a design principle for achieving robustness and evolvability

212 citations · 551 across the 17 of their papers we have counts for

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Showing 2009 · cs.NEShow all

11 papers · 2 filters

cs.NE2009

Robustness and Adaptiveness Analysis of Future Fleets

Slawomir Wesolkowski, Michael Mazurek, James M. Whitacre +2

Making decisions about the structure of a future military fleet is a challenging task. Several issues need to be considered such as the existence of multiple competing objectives a…

cs.NE2009★ 5 cited

Network Topology and Time Criticality Effects in the Modularised Fleet Mix Problem

James M. Whitacre, Axel Bender, Stephen Baker +3

In this paper, we explore the interplay between network topology and time criticality in a military logistics system. A general goal of this work (and previous work) is to evaluate…

cs.NE2009★ 32 cited

Use of statistical outlier detection method in adaptive evolutionary algorithms

James M. Whitacre, Tuan Q. Pham, Ruhul A. Sarker

In this paper, the issue of adapting probabilities for Evolutionary Algorithm (EA) search operators is revisited. A framework is devised for distinguishing between measurements of…

cs.NE2009★ 20 cited

Computational Scenario-based Capability Planning

Hussein Abbass, Axel Bender, Helen Dam +3

Scenarios are pen-pictures of plausible futures, used for strategic planning. The aim of this investigation is to expand the horizon of scenario-based planning through computationa…

cs.NE2009

Adaptation and Self-Organization in Evolutionary Algorithms

James M Whitacre

Abbreviated Abstract: The objective of Evolutionary Computation is to solve practical problems (e.g. optimization, data mining) by simulating the mechanisms of natural evolution. T…

cs.NE2009★ 3 cited

Strategic Positioning in Tactical Scenario Planning

James M. Whitacre, Hussein A. Abbass, Ruhul Sarker +2

Capability planning problems are pervasive throughout many areas of human interest with prominent examples found in defense and security. Planning provides a unique context for opt…

cs.NE2009★ 47 cited

The Self-Organization of Interaction Networks for Nature-Inspired Optimization

James M. Whitacre, Ruhul A. Sarker, Q. Tuan Pham

Over the last decade, significant progress has been made in understanding complex biological systems, however there have been few attempts at incorporating this knowledge into natu…

cs.NE2009

Evidence of coevolution in multi-objective evolutionary algorithms

James M Whitacre

This paper demonstrates that simple yet important characteristics of coevolution can occur in evolutionary algorithms when only a few conditions are met. We find that interaction-b…

cs.NE2009★ 3 cited

Degenerate neutrality creates evolvable fitness landscapes

James M Whitacre, Axel Bender

Understanding how systems can be designed to be evolvable is fundamental to research in optimization, evolution, and complex systems science. Many researchers have thus recognized…

cs.NE2009

Spontaneous organization leads to robustness in evolutionary algorithms

James M. Whitacre, Ruhul A. Sarker, Q. Tuan Pham

The interaction networks of biological systems are known to take on several non-random structural properties, some of which are believed to positively influence system robustness.…

cs.NE2009

Survival of the flexible: explaining the recent dominance of nature-inspired optimization within a rapidly evolving world

James M Whitacre

Although researchers often comment on the rising popularity of nature-inspired meta-heuristics (NIM), there has been a paucity of data to directly support the claim that NIM are gr…