Computational Scenario-based Capability Planning

TL;DR

This paper introduces a computational, capability-based planning methodology utilizing evolutionary multi-objective optimization to enhance scenario-based strategic planning, making it more flexible, practical, and innovative.

Contribution

It presents a novel, ICT-enabled computational approach for scenario-based planning that integrates evolutionary computation for optimization and innovation.

Findings

Demonstrates the effectiveness of evolutionary multi-objective optimization in planning.

Provides a flexible and customizable framework for scenario-based capability planning.

Shows practical applicability of the methodology in strategic planning contexts.

Abstract

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 computational models that are able to aid the analyst in the planning process. The investigation builds upon the advances of Information and Communication Technology (ICT) to create a novel, flexible and customizable computational capability-based planning methodology that is practical and theoretically sound. We will show how evolutionary computation, in particular evolutionary multi-objective optimization, can play a central role - both as an optimizer and as a source for innovation.