Partnership, politics and public administration: a case study of the Ontario Ministry of Natural Resources

Efforts to reform the public sector reflect the social, political and economic environment within which government must function. The recent demands by the public for more consensual decision-making, as well as more efficient, effective and responsive public service, have resulted in a number of reform initiatives, including an emphasis on partnership development. The purpose of this thesis is to examine partnership arrangements within the public sector. Specifically, the thesis will assess the value of partnerships and their impact on government by examining six partnership arrangements involving the Ontario Ministry of Natural Resources (OMNR). The OMNR, having recently been awarded the 1992 Institute of Public Administration of Canada Award for Innovative Management, on the theme of partnership development, is being lauded as an example for other government agencies considering similar alliances. The thesis begins by introducing the concept and practice of partnership within the public sector in general and the OMNR specifically. Descriptive analysis of six OMNR partnerships is provided and a number of criteria are used to determine the success of each of these arrangements. Special attention is paid to the political implications of partnerships and to those attributes which appear to contribute to the successful establishment and iii maintenance of partnership arrangements. The conclusion is drawn that partnerships provide the government with an opportunity to address public demands for greater involvement in decision-making while accommodating government's limited financial resources. However, few truly collaborative partnerships exist within the public sector. There are also significant political implications associated with partnerships which must be dealt with both at the political and bureaucratic levels of government. Lastly, it is argued that while partnerships within the OMNR are experiencing some difficulties, they constitute a genuine attempt to broaden the base of decision-making and to incorporate the concerns of stakeholders into resource management.

A Study of Ordered Gene Problems Featuring DNA Error Correction and DNA Fragment Assembly with a Variety of Heuristics, Genetic Algorithm Variations, and Dynamic Representations

Ordered gene problems are a very common classification of optimization problems. Because of their popularity countless algorithms have been developed in an attempt to find high quality solutions to the problems. It is also common to see many different types of problems reduced to ordered gene style problems as there are many popular heuristics and metaheuristics for them due to their popularity. Multiple ordered gene problems are studied, namely, the travelling salesman problem, bin packing problem, and graph colouring problem. In addition, two bioinformatics problems not traditionally seen as ordered gene problems are studied: DNA error correction and DNA fragment assembly. These problems are studied with multiple variations and combinations of heuristics and metaheuristics with two distinct types or representations. The majority of the algorithms are built around the Recentering- Restarting Genetic Algorithm. The algorithm variations were successful on all problems studied, and particularly for the two bioinformatics problems. For DNA Error Correction multiple cases were found with 100% of the codes being corrected. The algorithm variations were also able to beat all other state-of-the-art DNA Fragment Assemblers on 13 out of 16 benchmark problem instances.