Laura Wise

Issues on Dynamic Cognitive Map modelling of purse-seine fishing skippers behavior

This paper focus on obtaining a qualitative dynamic model based on real world data taken from a real world qualitative system: the day to day behavior of purse seine fishing fleet skippers. The model is based on a dynamic cognitive mapping approach (rule based fuzzy cognitive maps - RB-FCM) where several developments had to be made in order to obtain a workable system. Most changes were due to timing issues, which are essential in the study of system dynamics but have traditionally been avoided in most dynamic cognitive maps modelling approaches.

Fuzzy modeling and simulation of purse-seine fishing skippers behavior

This paper focus on the modeling of a qualitative real world dynamic system: the day to day behavior of purse seine fishing fleet skippers. The model is based on a dynamic cognitive mapping approach (rule based fuzzy cognitive maps - RB-FCM) where several developments had to be made in order to obtain a workable system. The model is intended to be used to test the effectiveness of different biological management scenarios, such as catch restrictions, marine closed areas, seasonal fishing bans, etc.

A GIS-based framework for addressing conflicting objectives in the context of an ecosystem approach to fisheries management—a case study of the Portuguese sardine fishery

A GIS-based framework for addressing conflicting objectives in the context of an ecosystem approach to fisheries management—a case study of the Portuguese sardine fishery D. Szalaj*, L. Wise, S. Rodrı́guez-Climent, M. M. Angélico, V. Marques, C. Chaves, A. Silva, and H. Cabral Instituto Dom Luiz (IDL), Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal Instituto Português do Mar e da Atmosfera (IPMA), Av. Dr Alfredo Magalh~aes Ramalho, 6, 1495-165 Algés, Portugal Centro de Ciências do Mar e do Ambiente (MARE), Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Lisboa 1749-016, Portugal Centre for Environment Fisheries and Aquaculture Science (CEFAS), Pakefield Road, Suffolk NR33 0HT, UK *Corresponding author: tel: þ351 927603434; e-mail: dszalaj@fc.ul.pt.

TSP with Multiple Time-Windows and Selective Cities

We address a special TSP in which the set of cities is partitioned into two subsets: mandatory cities and selective cities. All mandatory cities should be visited once within one of the corresponding predefined multiple time windows. A subset of the selective cities, whose cardinality depends on the tour completion time, should be visited within one of the associated multiple time windows. The objective is to plan a tour, not exceeding a predefined number of days, that minimizes a linear combination of the total traveled distance as well as the total waiting time. We present a mixed integer linear programming (MILP) model for the problem and propose a heuristic approach to solve it. Computational experiments address two real world problems that arise in different practical contexts.